Compare Azure Stream Analytics vs. Databricks

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Azure Stream Analytics Logo
5,115 views|4,478 comparisons
Databricks Logo
18,728 views|16,063 comparisons
Most Helpful Review
Find out what your peers are saying about Azure Stream Analytics vs. Databricks and other solutions. Updated: November 2020.
447,546 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:

Pros
"Provides deep integration with other Azure resources.""The most valuable features are the IoT hub and the Blob storage.""Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."

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"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search""Automation with Databricks is very easy when using the API.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.""I work in the data science field and I found Databricks to be very useful.""The time travel feature is the solution's most valuable aspect.""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."

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Cons
"If something goes wrong, it's very hard to investigate what caused it and why.""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.""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."

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"The integration features could be more interesting, more involved.""Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.""It should have more compatible and more advanced visualization and machine learning libraries.""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 would be very helpful if Databricks could integrate with platforms in addition to Azure.""Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""Pricing is one of the things that could be improved.""The product needs samples and templates to help invite users to see results and understand what the product can do."

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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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"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.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.""We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.""The pricing depends on the usage itself."

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Questions from the Community
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Top Answer: The most valuable feature is the ability to use SQL directly with Databricks.
Top Answer: We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.
Top Answer: I have seen better user interfaces, so that is something that can be improved. It was quite hard to deploy.
Ranking
5th
out of 30 in Streaming Analytics
Views
5,115
Comparisons
4,478
Reviews
3
Average Words per Review
677
Avg. Rating
8.0
1st
out of 30 in Streaming Analytics
Views
18,728
Comparisons
16,063
Reviews
14
Average Words per Review
587
Avg. Rating
8.1
Popular Comparisons
Compared 14% of the time.
Compared 8% of the time.
Compared 5% of the time.
Also Known As
ASADatabricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Learn
Microsoft
Databricks
Overview
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.

Offer
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 NetworksElsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Top Industries
VISITORS READING REVIEWS
Computer Software Company39%
Comms Service Provider19%
Retailer5%
Media Company4%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider12%
Media Company9%
Government5%
Company Size
No Data Available
REVIEWERS
Small Business7%
Midsize Enterprise27%
Large Enterprise67%
Find out what your peers are saying about Azure Stream Analytics vs. Databricks and other solutions. Updated: November 2020.
447,546 professionals have used our research since 2012.
Azure Stream Analytics is ranked 5th in Streaming Analytics with 3 reviews while Databricks is ranked 1st in Streaming Analytics with 15 reviews. Azure Stream Analytics is rated 8.0, while Databricks is rated 8.0. The top reviewer of Azure Stream Analytics writes "Effective Blob storage and the IoT hub save us a lot of time, and the support is helpful". 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 Spark Streaming, Apache NiFi, Apache Flink and Google Cloud Dataflow, whereas Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Alteryx, Dataiku Data Science Studio and Google Cloud Datalab. 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.