"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."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"Provides deep integration with other Azure resources."
"The most valuable features are the IoT hub and the Blob storage."
"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."
"The solution has a lot of functionality that can be pushed out to companies."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The technical support is good."
"It's easy to increase performance as required."
"The main features of the solution are efficiency."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The solution is very easy to use."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"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."
"The collection and analysis of historical data could be better."
"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."
"Early in the process, we had some issues with stability."
"The solution offers a free trial, however, it is too short."
"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."
"Pricing is one of the things that could be improved."
"There should be better integration with other platforms."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"Would be helpful to have additional licensing options."
"It's not easy to use, and they need a better UI."
"Costs can quickly add up if you don't plan for it."
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.
Azure Stream Analytics is ranked 5th in Streaming Analytics with 7 reviews while Databricks is ranked 1st in Streaming Analytics with 23 reviews. Azure Stream Analytics is rated 8.0, while Databricks is rated 7.8. 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 Google Cloud Datalab. See our Azure Stream Analytics vs. Databricks report.
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