We performed a comparison between Databricks and Informatica Data Engineering Streaming based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics."Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The integration with Python and the notebooks really helps."
"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."
"Databricks integrates well with other solutions."
"The solution is very simple and stable."
"The solution is very easy to use."
"The simplicity of development is the most valuable feature."
"It improves the performance."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"Can be improved by including drag-and-drop features."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"Databricks can improve by making the documentation better."
"The integration of data could be a bit better."
"We'd like a more visual dashboard for analysis It needs better UI."
"Skill requirement is required. There is a learning curve."
Earn 20 points
Databricks is ranked 2nd in Streaming Analytics with 78 reviews while Informatica Data Engineering Streaming is ranked 15th in Streaming Analytics with 1 review. Databricks is rated 8.2, while Informatica Data Engineering Streaming is rated 8.0. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Informatica Data Engineering Streaming writes "Helps with real-time data processing and improves decision-making overall". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Informatica Data Engineering Streaming is most compared with Google Cloud Dataflow, Apache Flink, Starburst Enterprise, Mule Anypoint Platform and IBM InfoSphere DataStage.
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