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."The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"The solution is very easy to use."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"It's very simple to use Databricks Apache Spark."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"Automation with Databricks is very easy when using the API."
"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."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"The integration features could be more interesting, more involved."
"Anyone who doesn't know SQL may find the product difficult to work with."
"Doesn't provide a lot of credits or trial options."
"The pricing of Databricks could be cheaper."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"The product cannot be integrated with a popular coding IDE."
"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 21st 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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