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Compare Azure Stream Analytics vs. Databricks

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7,843 views|6,841 comparisons
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30,399 views|25,220 comparisons
Featured Review
Find out what your peers are saying about Azure Stream Analytics vs. Databricks and other solutions. Updated: November 2021.
553,954 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

"I like the IoT part. We have mostly used Azure Stream Analytics services for it""The most valuable features are the IoT hub and the Blob storage.""Provides deep integration with other Azure resources.""Technical support is pretty helpful.""Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time.""I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service.""The solution has a lot of functionality that can be pushed out to companies."

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"I haven't heard about any major stability issues. At this time I feel like it's stable.""Imageflow is a visual tool that helps make it easier for business people to understand complex workflows.""It's easy to increase performance as required.""Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data.""The time travel feature is the solution's most valuable aspect.""Databricks gives you the flexibility of using several programming languages independently or in combination to build models.""Databricks helps crunch petabytes of data in a very short period of time.""We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"

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"The collection and analysis of historical data could be better.""It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics.""Early in the process, we had some issues with stability.""The solution offers a free trial, however, it is too short.""If something goes wrong, it's very hard to investigate what caused it and why.""Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure.""There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."

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"Implementation of Databricks is still very code heavy.""The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.""It should have more compatible and more advanced visualization and machine learning libraries.""Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists.""The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration.""Anyone who doesn't know SQL may find the product difficult to work with.""The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment.""Pricing is one of the things that could be improved."

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Pricing and Cost Advice
"The cost of this solution is less than competitors such as Amazon or Google Cloud."

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"The solution requires a subscription.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.""Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.""There are different versions.""I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself.""The price is okay. It's competitive.""The pricing depends on the usage itself."

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553,954 professionals have used our research since 2012.
Questions from the Community
Top Answer: Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
Top Answer: In terms of pricing, you can't compare it to open source solutions. It would be higher compared to open source, of course, however, with the support and everything you're getting, I would say the… more »
Top Answer: With Azure specifically, the drawback is it is a very Azure-specific product. You can't connect it to external things out of Azure. For example, Spark or Databricks can be used in any cloud and can be… more »
Top Answer: Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
Top Answer: We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
Top Answer: The initial setup is pretty easy.
out of 38 in Streaming Analytics
Average Words per Review
out of 38 in Streaming Analytics
Average Words per Review
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Learn More
AzureStream Analytics is a fully managed event-processing engine that lets you set up real-time analytic computations on streaming data.The data can come from devices, sensors, web sites, social media feeds, applications, infrastructure systems, and more.

Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

Learn more about Azure Stream Analytics
Learn more about Databricks
Sample Customers
Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Top Industries
Computer Software Company29%
Comms Service Provider20%
Energy/Utilities Company7%
Financial Services Firm5%
Financial Services Firm18%
Computer Software Company18%
Mining And Metals Company18%
Energy/Utilities Company9%
Computer Software Company27%
Comms Service Provider15%
Financial Services Firm8%
Company Size
Small Business29%
Midsize Enterprise14%
Large Enterprise57%
Small Business12%
Midsize Enterprise19%
Large Enterprise69%
Small Business25%
Midsize Enterprise18%
Large Enterprise57%
Find out what your peers are saying about Azure Stream Analytics vs. Databricks and other solutions. Updated: November 2021.
553,954 professionals have used our research since 2012.

Azure Stream Analytics is ranked 4th in Streaming Analytics with 7 reviews while Databricks is ranked 1st in Streaming Analytics with 25 reviews. Azure Stream Analytics is rated 8.0, while Databricks is rated 8.0. The top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". On the other hand, the top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Azure Stream Analytics is most compared with Apache Spark, Apache Flink, Apache Spark Streaming, Apache NiFi and Amazon Kinesis, whereas Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Alteryx, Dataiku Data Science Studio and Dremio. See our Azure Stream Analytics vs. Databricks report.

See our list of best Streaming Analytics vendors.

We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.