Trending December 2023 # Azure Data Factory Vs Databricks # Suggested January 2024 # Top 21 Popular

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Difference between Azure Data Factory vs Databricks

Azure data factory vs databricks is two clouds based ETL and data integration tools that handle various types of data like batch streaming and structured and non-structured data. Azure data factory is an orchestration tool that is used for services of data integration which carries the ETL workflow and scaling the data transmission. Azure databricks provide a platform of single collaboration for engineers and data scientists.

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Azure data factory is used in the service of data integration, so we can say that it is used for orchestrating data movement and ETL. Databricks focuses on collaboration with other team members like data scientists and data engineers; for using ML models, we need a single platform.

Azure data directory is a GUI based integration tool that contains less learning curve. Azure databricks requires learning Scala, Java, R, Python, and spark for data engineers and data scientists-related activities, which use notebooks for writing code and collaborating with peers.

Basically, the azure data directory is GUI based tool, so we have less flexibility; if we have to modify our code to complete the activity in less time, we are doing a programming approach. Databricks developer will contain the code flexibility and fine-tuning for improving the processing capabilities and methods of performance optimization.

Azure data directory and databricks both are supporting for streaming and batch operations, but azure data factory is not supporting to real-time streaming. Databricks uses real-time streaming.

What is Azure Data Factory?

Azure data factory is a cloud service of ETL for scaling out the data integration and the transformation of data. Azure data factory offers the code-free UI of single pane glass monitoring and UI intuitive for management. We are also shifting and lifting the package of SSIS for azure and run the same by using full compatibility of azure data factory. The integration runtime of SSIS offers a fully managed service, so we have no worries about the management of infrastructure.

Azure data factory is a cloud-based PaaS that offers an azure platform to integrate the different types of data services and sources. It will come with pre-built connectors and provide the solution for ETL, ELT, and other types of data integration pipelines. ETL tool extracts the data and transforms data to intended analytical use cases.

What is Databricks?

Azure databricks is a SaaS based tool of data engineering which processes massive quantities of data for building models of machine learning. Azure databricks is supported by various services of cloud-like google cloud, azure, and AWS. Azure databricks are optimized by using the Azure cloud platform, which offers data science and data engineering environments for developing the applications.

By using azure data bricks, we are running SQL queries on Data Lake to create multiple visualizations for exploring the results of queries for building the dashboards of share. Databricks provides a collaborative and interactive workspace for machine learning engineers and data engineers to build complex projects of data science.

Head to Head Comparison Between Azure Data Factory vs Databricks (Infographics)

Key Difference Between Azure Data Factory vs Databricks

Let us discuss some of the major differences between Azure Data Factory vs Databricks:

Azure data factory is a data integration service and orchestration tool for performing the ETL process and orchestrating the data movements. Azure data bricks is providing a unified collaborative platform for data scientists and data engineers.

By using data bricks, we can use python, spark, and java for performing data engineering and data science activities. Azure data directory provides the drag-and-drop feature for creating and maintaining the data pipelines for tools of the graphical user interface.

Azure data factory is facilitating the process of the ETL pipeline by using GUI tools; developers will contain less flexibility for modifying the code. Databricks is implementing the programmatic approach for providing flexibility and fine-tuning code to optimize performance.

Databricks offers batch streaming processing while working with a large amount of data. Batch deals with the bulk data. Data bricks support the archive streaming options.

Data factory is offering the transformation of the data integration layer, which supports digital transformation activities. Azure data factory enables work efficiently with an open and unified platform for any kind of analytics workload.

Azure Data Factory Requirement

Azure data factory requires the following essential components. Pipeline is the most important component.

Pipeline – It is a logical group activity that was used to perform the unit of work. Single pipeline performs different actions like blob storage.

Activities – It is representing the unit of work in the pipeline. It includes the activities which were used to copy the blob data for the storage table for transferring JSON data into the blob storage.

Datasets – It represents the data structures within the data store. Datasets point to the data activities which need to use in inputs and outputs.

Triggers – It defines the way to execute in pipeline. Triggers are determining when we are beginning our execution of the pipeline.

It will contain three types:

Schedule trigger

Window trigger

Event based trigger

Integration runtime – It will contain the computing infrastructure which was providing the capabilities of data integration like data movement or data flow.

Databricks Requirement

The developers in data bricks have the freedom to tweak the code activities by using a variety of performance optimization techniques which enhances the capabilities of data processing. Databricks is supporting the spark clusters, it will handle more data efficiently, and the data factory is connecting to the various types of data sources.

By using databricks, we can seamlessly integrate open-source libraries and its access by the most recent versions of apache spark. Due to the global scalability of azure, we are easily creating the clusters and building the managed spark environment. By using azure machine learning, databricks is giving us access to automated machine learning capabilities which enable the algorithms.

Comparison Table of Azure Data Factory vs Databricks

Sr. No Azure Data Factory Azure Databricks

1 Azure data factory will contain structured and unstructured data. Azure databricks will contain structured and unstructured data.

2 Azure data factory contains data velocity in batch streaming and real-time. Azure databricks contains data velocity in batch streaming and real-time.

3 We are using a web browser tool for development in the azure data factory. We are using a web browser tool for development in azure data bricks.

4 We are using .Net, python, and powershell language in the azure data factory. We are using python, Scala, R languages in azure databricks.

5 Azure data factory is following the plan as pay-as-you-go. Azure databricks is following the plan as pay-as-you-go.

6 We are using ETL or ELT for data movement in the azure data factory. We are using collaboration and preparation of data in azure databricks.

7 Azure data factory will contain the data integration tools of GUI. Azure databricks does not contain the data integration tools

8 Azure data factory offers a layer of data integration and transformation. Azure databricks is not offering the layer of data integration and transformation.

9 Azure data factory offers the options of drag and drop. Azure databricks is not offering the option of drag and drop.

10 Azure data factory is the most important tool for loading data through ETL. Azure databricks is mostly used by data scientists of data engineers.

Purpose of Azure Data Factory

Azure data factory is primarily used for data integration services to perform the ETL process and orchestrate the data movement as per the scale. The azure data factory is providing the visual data pipeline interface, which was code free. Also, it describes the workflows which were allowing data engineers and data integrator which were non-expert to accomplish their tasks of data manipulation.

Azure data factory is providing the movement of azure blob storage data by using pipeline of azure. By using azure data factory, we are integrating our data with a fully managed service of data integration. By using the azure data factory, we can also integrate the service azure synapse for unlocking the business insights of the azure data factory; we are using ADF in multiple scenarios.

Purpose of Databricks

Databricks provides a collaborative platform for data scientists and data engineers to perform the operations of ETL for building machine learning models into a single platform. The main purpose of using azure databricks is to analyze, monitor, and monetize the datasets.

We are using the azure databricks platform for building multiple applications. The azure data bricks workspace provides user interfaces for providing multiple core data tasks, which include the tools.


Azure data factory is used in the service of data integration, so we can say that it is used for orchestrating data movement and ETL. Azure data factory vs databricks is two cloud-based ETL and data integration tools which were handling various types of data like batch streaming and structured and non-structured data.

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Azure Certification Paths: Explore Your Options

Microsoft Azure Certification

Microsoft Azure Accreditation approves specialized abilities connecting with different workplaces that utilize Azure and tests your degree of mastery.

Microsoft Azure Accreditation additionally offers Speciality Confirmations custom-made to one cloud space subject. Generally, there are 25 distinct Microsoft Azure Certificates that you can accomplish by breezing through related tests to demonstrate your insight.

Microsoft Azure certificates are a progression of the north of twelve certificates help experts working on cloud computing or who need to start a lifelong in the field. Azure certificates fall in one of a few certificate levels, and a few confirmations have no gathering characterization.

Levels of Microsoft Azure Certification

There are four degrees of Microsoft Azure certificate. They are −

Fundamentals level certificates − Ideal for non-specialized individuals who need to get everything rolling in distributed computing and cloud experts who are simply starting.

You’ll have to finish one test to acquire your Fundamental level confirmation. Microsoft, as of now, offers four tests that you can browse, including −

Azure Fundamentals by Microsoft Azure

Microsoft Security, Compliance, and Identity Fundamentals Azure by Microsoft Azure

Azure Data Fundamentals by Microsoft Azure

Azure AI Fundamentals by Microsoft Azure

Associate level certificates − The most ideal for up-and-comers who have a strong comprehension of Purplish blue’s nuts and bolts.

You want to breeze through two associate-level tests to acquire an associate-level accreditation. Microsoft offers a sum of thirteen unique tests to look over, including −

Azure AI Engineer Associate by Microsoft Azure

Azure Data Scientist Associate by Microsoft Azure

Security Operations Analyst Associate by Microsoft Azure

Azure Data Engineer Associate by Microsoft Azure

Azure Administrator Associate by Microsoft Azure

Azure Network Engineer Associate by Microsoft Azure

Identity and Access Administrator Associate by Microsoft Azure

Azure Stack Hub Operator Associate by Microsoft Azure

Azure Developer Associate by Microsoft Azure

Azure Security Engineer Associate by Microsoft Azure

Azure Enterprise Data Analyst Associate by Microsoft Azure

Windows Server Hybrid Administrator Associate by Microsoft Azure

Azure Database Administrator Associate by Microsoft Azure

Expert level certificates − Ideal for individuals with serious areas of strength in the cloud, remembering partner level confirmation and hands-for experience working with the cloud.

You’ll have to finish two master level tests to procure your accreditation at this level. Microsoft offers three tests to look over, including −

DevOps Engineer Expert by Microsoft Azure

Cybersecurity Architect Expert by Microsoft Azure

Azure Solutions Architect Expert by Microsoft Azure

Specialty affirmations − These strengths center around Purplish blue IOT Designer Claim to fame and Azure for SAP Jobs.

You likewise have another choice. Notwithstanding the three fundamental Purplish blue certificates, Microsoft additionally offers five specialty choices, including −

Azure Support Engineer for Connectivity Specialty by Microsoft Azure

Azure Virtual Desktop Specialty by Microsoft Azure

Azure IoT Developer Specialty by Microsoft Azure

Cosmos DB Specialty by Microsoft Azure

Career paths connected with Microsoft accreditations

Microsoft deliberately made their accreditations job-based and worked around the abilities expected to prevail in like manner IT places that utilize Azure.

The organization is aware of adjusting the certificates to the most recent industry patterns and attempts to make them industry driven.

The leading ten center positions in the cloud space that Microsoft designers to in their Azure Confirmations are as per the following −

Solutions Architect

AI Engineer

Security Engineer

Cloud Administrator

Functional Consultant

Cloud Developer

DevOps Engineer

Cloud Solutions Architect

Data Scientist

Data Engineer

The Top Azure Accreditation Ways

Here are the best Microsoft Azure accreditation ways for you to follow today.

AZ-104: Azure Administrator Associate

Essentials − Involvement with Azure Entryway, Power Shell, ARM Layouts, and Purplish blue CLI.

Abilities Covered − Overseeing Azure personalities and administration; executing and overseeing stockpiling; arranging and overseeing virtual systems administration; conveying and overseeing Azure register assets; checking and backing up Sky blue assets.

Who Is This for? Any expert with a specialized foundation should approve their headlevel information in Cloud administrations. Individuals who trade or who are associated with cloud-based administrations and arrangements

Why This Is Required − Organizations need up-and-comers with a solid foundation in different cloud stages.

DP-100: Azure Data Scientist Associate

Essentials − Information and involvement with information science, including utilizing Azure AI and Azure Databricks.

Abilities Covered − Dominating Azure-situated AI assets; running trials and preparing models; carrying out capable AI; sending and operationalizing AI arrangements.

Who Is This for? Information Researchers utilizing Azure.

Why This Is Required − AI is on the ascent, and it factors vigorously in the present information examination.

AZ-204: Azure Developer Associate

Abilities Covered − Creating Azure capacity and figure arrangements; executing Azure security; checking, streamlining, and investigating Azure arrangements; associating and consuming Azure and outsider administrations.

Who Is This for? Experts whose obligations cover all periods of cloud improvement.

Why This Is Required − It’s essential for the DevOps test and offers better employer stability.

DP-203: Azure Data Engineer Associate

Essentials − Requires strong information on information handling dialects like SQL, Python, or Scala. Up-and-comers additionally need to comprehend engineering examples and equal handling.

Abilities Covered − Planning and creating information handling; planning and executing information stockpiling; planning and carrying out information security; streamlining information stockpiling and information handling.

Who Is This for? Experts working with information pipelines, information handling, and managing partners. This affirmation is fundamental for information engineers.

Requirements − Applicants are firmly urged to have either Azure Designer or Azure Chairman confirmation, in addition to Linux and SAP HANA certificates

Abilities Covered − Relocating SAP jobs to Azure; fabricating and sending Azure for SAP responsibilities; approving framework for SAP jobs; planning Azure arrangements that help SAP Responsibilities; upgrading Azure SAP design execution

Why This Is Required − SAP applications are generally found in Fortune 500 organizations, giving you extraordinary open doors for a lifelong in a highly regarded organization.

How To Factory Reset An Ipad (Working Methods)

How to Factory Reset an iPad (2023)

This guide not only covers how to factory reset an iPad but goes into detail into other methods that might resolve your problem before you need to reset it. Use the table below to find your specific solution.

What Happens When You Factory Reset an iPad

In normal circumstances, whatever data you delete on your iPad stays inside the system even after it’s gone. However, when a user factory resets an iPad, it deletes all the device’s content and settings and any stored data permanently. A factory reset is usually performed when you either want a fresh start on the device, it is riddled with bugs and glitches. However, there are things you can do before you decide to factory reset your iPad.

Soft Reset Your iPad Instead

If your reason for factory resetting your iPad is simply because it has been slowing down, hold your horses. Before you go about deleting everything, perhaps you’re better off performing a Soft Reset. Put simply, a soft reset of the iPad is like restarting it. However, this proves useful when you’re tired of slow load times or any temporary bugs that have shown up. If a soft reset for the iPad works, you’ll be saving yourself some time. Follow the steps below to perform a soft reset on the iPad:

2. The power slider will appear titled “Slide to power off.” Swipe it to the right to power off your iPad.

3. Once the iPad has been turned off, simply hold the power/lock button again until you see the Apple logo and then let go.

Your iPad has now gone through a soft reset. While there is no guarantee that this will fix all your issues, immediate ones like slowing down apps and features should resolve. If you feel this is not enough, keep reading.

How to Force Restart an iPad

If your iPad is completely frozen and not responding, there’s a good chance the slider menu won’t open up. In that case, you need to force restart your iPad. Don’t worry as it won’t damage your data. Simply follow the steps below:

1. Press and release the Volume up button quickly.

2. Press and release the Volume down button quickly.

3. Press and hold the Power button until your iPad restarts.

Prepare the iPad for Factory Reset

If the above methods have failed to work or your mind is set on factory resetting the iPad, we understand. However, before we begin deleting everything off the device, there are some things we need to do to make sure we don’t run into any problems. These are:

Turn off Find My on the iPad

If you’re using your computer to factory reset your iPad, you will need to turn off the Find My service before you can proceed. This is easy to do. Just follow along:

1. Open the Settings app on your iPad.

2. Tap on your name at the top left and a list will open up. Tap Find My to open its settings.

4. Toggle off Find my iPad and enter your Apple ID password for verification.

Find My has been turned off and you’re now ready to proceed.

No matter if you’re using a Mac or a PC, make sure your OS has been updated to the latest version. While we will be using iTunes for this guide, Mac users with macOS Catalina or later can use Finder for the same process. Mac users who cannot update to the latest version can update their iTunes using the built-in App Store. For more information on how to go about it, check out Apple’s Website.

Windows users can either download iTunes from the Microsoft Store or from Apple’s Website. Once you’re all set with the above steps, keep reading.

Make an iPad Backup How to Make a Backup of an iPad

Creating a backup of your iPad will ensure that you can safely restore your data once the iPad has gone through a factory reset. You can quickly create the latest backup of all your data from the iPad itself. Follow the steps below to do so:

1. Open the Settings app on the iPad.

2. Tap your name and then tap iCloud.

3. From the list that appears, tap iCloud Backup.

How to Factory Reset an iPad with a Computer

So you’ve decided to go for it then. For the iPad’s factory reset, we will be covering methods that involve a computer and a process without it. This method involves the use of a computer. If you’re trying to reset your iPad with a forgotten passcode or it has been disabled, you can try this method. If you don’t want to go through this trouble, simply skip this section. Others, follow the steps below:

1. Connect your iPad to your PC or Mac.

2. Open iTunes or Finder depending on your method.

3. If you see any messages asking you to enter your passcode or any permissions, simply follow them.

Factory Reset iPad Using iTunes (For Macs Older than macOS Catalina)

Factory Reset iPad Using Finder (macOS Catalina and Later)

Image Courtesy: Apple

5. Once selected, you will see all the details regarding your iPad along with the OS version. Among the options, find and tap the Restore iPad button.

6. A dialog box will now open up asking if you want to make a backup. Depending on whether you made a backup before or simply don’t want to, choose your desired option and proceed.

Once your iPad has been factory reset, you will be met by the initial welcome screen asking you to set it up. Follow the same settings you did when you first got your device and you’ll be good to go in no time. As said before, your data and settings have been deleted and you’re starting fresh.

How to Factory Reset an iPad Without a Computer

If you don’t have access to a computer or simply want to get it done faster, you can. The iPad settings offer a factory reset option that will easily delete all your data. However, this will only work if you know your passcode and your iPad is unlocked. For the users whose iPad is disabled, check out how to factory reset a disabled iPad. Follow the steps below to factory reset your iPad without a computer.

1. Open the Settings app on your iPad.

2. Find and tap General and then tap Transfer or Reset iPad.

5. Enter your Passcode on this screen and proceed.

6. You’ll be met by another screen offering a backup. If you’ve already backed up your iPad, select Erase Now and let the factory reset process begin.

The iPad will now begin to reset and should be done in some time. Once through, you’ll be met with the setup screen. Simply follow the on-screen instructions to set up your fresh iPad and begin using it.

Make Your iPad Brand New

Azure Functions Runtime Is Unreachable Error: Fix

Azure Functions Runtime Is Unreachable Error: Fix Firewall prevents the Azure Function host from working correctly




You can get this error if your firewall settings are incorrect, the storage account is deleted, or you have reached the daily execution quota. 

This guide will discuss the causes of the issue and the steps you need to take to resolve the error.



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Download Fortect and install it on your PC.

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Azure Functions Runtime is unreachable error occurs when the Functions runtime can’t start. Usually, this happens if you have exceeded the daily execution quota or deleted the storage account.

In this guide, we will help you troubleshoot the causes of the error and resolve the issue. Let’s start!

What causes the Azure functions runtime is unreachable error?

There could be various reasons why functions app runtime error occurs; some of the popular ones are: 

Lost access to storage account – If the function app has lost access to the storage account, you might get this error. 

Storage account deleted– If you have mistakenly deleted the storage account, then you can encounter this error. You need to create a new storage account.

Storage account settings – If you have input the wrong credentials or deleted some of the settings, then you might get this error message. Check the storage account credentials and application settings to know the issue.

Daily execution quota – If you have exhausted the daily execution quota assigned, then the function app will be disabled temporarily. Increase the quota to fix the issue.

Network connectivity issues– If the function app has IP restrictions blocking internet access or inbound traffic, you might get this error.

How can I fix the Azure functions runtime is unreachable error? 1. Check if the storage account has been deleted 

All function apps need a storage account to work, and if the account is deleted, functions won’t operate. To fix this, check these elements: 

First, look for your storage account in the application settings. 

Now check whether WEBSITE_CONTENTAZUREFILECONNECTIONSTRING or AzureWebJobsStorage contains a storage account’s name as part of a connection string.

You can also search for it in the Azure portal to confirm the storage account exists.

If you can’t find the account, you need to recreate the storage account.

Then, replace the storage connection strings. 

Also, check for the function code; if not available, you need to deploy it again.

2. Check if storage account application settings are deleted

If the connection string was overwritten or deleted, you might not find it. This could have happened because you use Azure Resource Manager scripts or deployment slots to set application settings.

Expert tip:

To avoid this error, it is recommended that you use the AzureWebJobsStorage element.

Do not activate the slot setting options for any of the settings.

These settings must be provided and valid at the time of the creation.

3. Check if the storage account is accessible 

The Azure function application must have access to the storage account to operate. Here are some things you need to do to resolve the issue: 

Verify that the firewall for your storage account is disabled and allows incoming and outgoing traffic to the functions.

Set the allowSharedKeyAccess to True as the default value.

Check if the Azure function app is installed in ASE (App Service Environment) with the proper network rules, allowing incoming and outgoing traffic to the storage account. 

4. Daily execution quota exhausted 5. Check the firewall settings for the function app

A firewall could restrict the function app; check these areas to be certain: 

Your function app is hosted within an App Service Environment that uses internal load balancing and is set to prevent incoming internet traffic.

The function app has IP restrictions to prevent access to the internet.

Once you know there are restrictions, go to the subnet’s NSG (Network Security Group), which contains the App Service Environment.

Ensure that the inbound rules are set to permit traffic originating from the computer’s public IP address you are using to access the application.

6. Container errors on Linux

If there is a problem with the container, then the function apps running on Linux in a container can show the error. To fix this, follow these steps: 

Still experiencing issues?

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Commonly Asked Ques During Microsoft Azure Interviews

This article was published as a part of the Data Science Blogathon.

Introduction on Microsoft Azure

Microsoft Azure is a public cloud computing platform. Azure provides different categories of cloud services such as infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless. Organizations across the globe prefer to use Microsoft Azure while developing the solutions as it provides dynamic scalability, disaster recovery, and security.

Therefore, it is very beneficial for developers if they have good knowledge about Azure.

In this article, we will discuss some important questions on Azure that will help you to get well prepared for your interviews.

Below are some important interview questions for Azure:

Interview Questions for Azure

1. How will you differentiate between public and private cloud?

Public Cloud Private Cloud

In the public cloud, in a shared environment data of multiple organizations are stored but kept isolated from one another.  Private Cloud stores the data of a single organization.

It is managed by the cloud service provider and customers use them.  Private Cloud is managed and used by a single organization.

Public Cloud has shared servers and resources.  Private Cloud has dedicated servers and resources.

Security is less in the public cloud as the resources are shared.  Private Cloud is highly secured as it has dedicated resources.

2. What are Azure resources and Azure resource groups?

Every entity created and managed by Azure is known as an Azure resource. Examples of azure resources include Azure Storage Account, Azure SQL, Azure Virtual Machines, etc. Azure resource group holds the related Azure Resources for an Azure solution. Using the Azure resource group, we can easily manage the life cycle of all the azure services which are present inside a resource group together.

3. What are the different protocols supported by Azure Application Gateway? Is it possible to restore an Application Gateway and its public IP if it has been deleted?

The different protocols supported by the Azure Application gateway are HTTP, WebSocket, HTTPS, and HTTP/2. It is not possible to restore an Application Gateway and its public IP if it has been deleted. When deleted accidentally in any scenario, you will be required to create a new application gateway.

4. What is the difference between Service Bus Queues and Storage Queues?

Service Bus Queues Storage Queues

Service Bus Queues supports message ordering using First In First Out (FIFO).  Storage Queues do not guarantee message ordering.

Storage Queues support atomic operation.  Storage Queues do not support atomic operation.

It supports batch sending and receiving of messages.  It supports batch receiving of messages but does not support batch sending.

It supports queue-level lease/lock precision.  It supports message-level lease/lock precision.

It supports a lock-based exclusive access mode.  It supports a lease-based exclusive access mode.

5. Consider a scenario in which work as an Azure Administrator for your organization. You have been asked by Team Lead to set the default password for all the new users added to the Active Directory. Is it possible?

Yes, it is possible to set the default password for the first-time user in the azure active directory.

6. What is the difference between Azure Table Storage and the Azure SQL service?

Azure Table Storage Azure SQL

Azure Table Storage stores non-relational structured data.  Azure SQL stores relational data.

Azure Table Storage stores data in key-value format. Here, data is referred to as an entity.  Azure SQL stores data in rows and columns.

It is mostly used for storing diagnostic information or log data.  It is mostly used for transactional data.

7. What is the maximum number of triggers that a single Azure Function can have?

There can be only one trigger present at maximum inside an Azure Function.

8. What is data profiling in Azure?

Data profiling is a feature of the Azure Data Catalog service which examines the data

from supported data sources in the catalog and collects useful information and related statistics about that data. For including a profile of your data assets, choose Include Data Profile in the data source registration tool whenever you register a data asset.

9. How can the issue of high load on the application be resolved when there is no man support on the floor using Azure?

To resolve the above issue, we can use VM Scale sets with proper conditions and configurations to provision a new VM whenever the load to the application increases.

10. How do you delete a blob with snapshots in Azure?

For deleting a blob with snapshots, you will first have to delete all of its snapshots. If you want to delete a blob and its snapshots both at the same time, you can use the Delete Blob operation for that.

11. How can we secure database connection strings using Azure Key Vault?

Create a secret in Azure Key Vault, give any name to the secret, and provide database connection strings as a secret value. Thus, in the above way, we can secure the database connection strings using a secret in Azure Key Vault.

12. On your workstation, you have created a container image named ContainerX. After that, you have created an Azure web app for containers named Demo that will use container image ContainerX. You need to upload ContainerX to Azure. The solution provided by you must ensure that Demo can use container image ContainerX. To which Azure Service should you upload the created container image ContainerX?

Container image ContainerX should be uploaded to the Azure container registry. After that, configure the registry credentials inside the web app such that the app service to which the web app is deployed is able to pull the image from the Azure container registry. In the Azure portal, in the web app for containers named Demo go to Container settings and update the Image source, Registry, and Save.

Conclusion on Microsoft Azure 

In this article, we have discussed some common questions that can be asked in Azure interviews. However, it’s recommended to read Microsoft’s official documentation for gaining further knowledge about the questions and Azure services discussed here. Below are some major takeaways from the above Microsoft Azure article:

1. We have learned how to secure database connection strings using Azure Key Vault.

2. We have seen how is data profiling, azure resources, and azure resource group.

3. We got an understanding of how an Azure function can have only one trigger at maximum.

4. We have seen how Azure Storage Queues and Azure Service Bus queues are different from each other.

5. Apart from this, we also saw under which scenarios it is beneficial to use Azure VM Scale Sets and Azure Application Gateway.

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Top 7 Azure Scheduler Alternatives In 2023

Job scheduling benefits include:

Improved productivity and efficiency in process management 

Correct sequencing and execution of workflows 

Enhanced visibility and control over task execution and progress. 

Azure scheduler is a cloud-based service from Microsoft that can offer these benefits by running jobs on a centralized and flexible platform. However, it is not easy to decide whether to choose Azure scheduler since it has many competitors:

There are 12 market-leading IT automation software

There are more than 20 IT automation solutions

Such a complex landscape might slow down technology leaders’ decision-making process before picking a solution. Therefore, this article will review Azure Scheduler and compare it against its alternatives. 

7 Azure scheduler alternatives

While deciding Azure Scheduler alternatives, we have taken into account: 

Number of B2B reviews: B2B reviews provide insights into the adoption rates of these tools and aid in gaining a better understanding of their strengths and weaknesses. 

Number of employees on LinkedIn: The employee count serves as an indicator of a firm’s revenue and overall success since more successful companies tend to hire larger teams. As a result, we excluded vendors whose LinkedIn profiles listed less than 10 employees.

The table below shows the total number of B2B reviews pulled from sources like Gartner, G2, Trustradius and Capterra as well as the average ratings and average ease of use scores they receive dfrom users. It is sorted in descending order for number of B2B reviews with the exception of the products of the sponsor of this article: Redwood Software.

SolutionRatingsTotal number of reviewsEase of Use ActiveBatch4.52598.7 Redwood RunMyJobs4.71749.3 JAMS scheduler4.52048.6 Azure Logic Apps4.31878.4 Control-M4.11598.8 Azure Scheduler4.31528.6 VisualCron4.7188 Flux4.24NA Robot Schedule4.51NA Activeeon ProActiveN/A0NA

If you prefer more comprehensive version of this comparison, you can:

Check out our data-driven and constantly updated enterprise job scheduler list.

Compare more vendors through our data-driven workload automation technical leaders guide.

Azure Scheduler Review

Azure scheduler was retired in 2023 and has been replaced with Azure Logic Apps. Logic Apps provide scheduling functionality along with additional features like a built-in support for tracking, alerting and logging. In our review and comparison, we evaluated both tools.

Figure 1: Azure Logic Apps user review


Easy integration: Reviewers rated Azure logic apps’ capabilities for easy integration to be 8.9/10. They also rank easy data integrations as 8.6.

Figure 2: Azure logic apps integration and management capabilities on G2.


Dependency on Azure: Azure Scheduler is tightly coupled with the Azure platform, which means it may not be the ideal choice if you have a multi-cloud or hybrid environment that includes non-Azure components or services.

Limited external integration: Azure scheduler may struggle with integration to external systems due to limitations.  

Lack of troubleshooting: Some reviewers mentioned the difficulty to troubleshoot the issues (See Figure 3). Azure Logic app users also complained about debugging and troubleshooting complex workflows (See Figure 1). 

Figure 3: Azure Scheduler user review

Top 4 Azure scheduler alternatives

In our detailed comparison, we decided to focus on the market leaders. Therefore, we focused our comparison on top alternatives.

Number of B2B reviews are correlated with market shares and therefore we chose to focus on the top 4 Azure Scheduler alternatives that have accumulated over 100 reviews collectively across reputable review sources such as G2, Gartner, Trustradius, and Capterra.

1. ActiveBatch 

ActiveBatch is a comprehensive workload automation and job scheduling platform that allows users to automate and manage complex business processes, workflows, and tasks across diverse systems and applications. 

Figure 4: Azure Scheduler vs. ActiveBatch WLA

Ease of use: ActiveBatch performs slightly better than Azure Scheduler considering the ease of use (See Figure 4).   

Quality of support: Reviewers score ActiveBatch higher than Azure Scheduler for quality of support they receive (See Figure 4).

2. Redwood RunMyJobs

Redwood RunMyJobs is a full-stack automation platform that can connect to various environments and applications. 

Figure 5: Azure Scheduler vs. Redwood RunMyJobs

Ease of use: Redwood RunMyJobs have the highest score for ease of use among all Azure Scheduler alternatives (See Figure 5).   

Quality of support: Reviews indicate that Redwood delivers a higher quality of support than Azure Scheduler (See Figure 5).

3. JAMS Scheduler

JAMS is a job scheduling and workload automation software with native integration to various systems and applications, such as SAP.  

Figure 6: Azure Scheduler vs. JAMS Enterprise Job Scheduler

Ease of use: JAMS scheduler and Azure Scheduler receive the same average for ease of use. Yet, JAMS scheduler has a higher number of reviews. (See Figure 6).   

Quality of support: JAMS scheduler has the top quality of support score among all Azure scheduler alternatives (See Figure 6). 

Learn more on JAMS Scheduler and its alternatives. 

4. Control-M 

Control-M is a workload automation software that can automate and manage complex workflows across IT infrastructure. 

Figure 7: Azure Scheduler vs. Control-M

Ease of use: Control-M has a slightly higher ranking for the ease of use than Azure Scheduler (See Figure 7).   

Quality of support: Control-M obtains higher score than Azure Scheduler (See Figure 7).

Discover pros and cons of Control-M and compare it to Control-M alternatives.  

What are Azure scheduler alternatives on other cloud providers?

In the lists above, we focused exclusively on products that could replace Azure scheduler. However, if you are making a decision about your cloud platform and analyzing different cloud providers’ toolkits to aid your decision, you may want to know about tools that perform similar functions to Azure scheduler on other cloud providers. 

These tools are:

Amazon MQ: It is a fully managed message broker service offered by Amazon Web Services (AWS). Amazon MQ enables separate and reliable interaction and communication between various applications. It supports popular messaging protocols such as MQTT, AMQP, and STOMP, making it easy to integrate with various systems.

Google Cloud Pub/Sub: It is a messaging and event-driven service provided by Google Cloud Platform (GCP). Google Cloud Pub/Sub allows users to build and integrate scalable communication between independent applications.

IBM MQ: BM MQ, previously known as IBM WebSphere MQ, is a messaging middleware that facilitates the exchange of messages between various applications and systems. 

Transparency statement

AIMultiple serves numerous technology vendors, including Redwood which provides Active Batch, RunMyJobs, and Tidal.

Further reading

Compare other Workload automation and job scheduling tools and their alternatives:

If you need more help with listing, you can always:

Hazal Şimşek

Hazal is an industry analyst in AIMultiple. She is experienced in market research, quantitative research and data analytics. She received her master’s degree in Social Sciences from the University of Carlos III of Madrid and her bachelor’s degree in International Relations from Bilkent University.





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