We performed a comparison between Databricks and Teradata Data Lab based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"Databricks integrates well with other solutions."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"It has increased the speed of reporting."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
"The initial setup is difficult."
"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."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"It would be great if Databricks could integrate all the cloud platforms."
"The Databricks cluster can be improved."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Implementation of Databricks is still very code heavy."
"Pricing is one of the things that could be improved."
"Their level of technical support is adequate. It could be better."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"The initial setup was complex as we had to rewrite a lot of the code."
Earn 20 points
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Teradata Data Lab is ranked 32nd in BI (Business Intelligence) Tools. Databricks is rated 8.2, while Teradata Data Lab is rated 8.6. 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 Teradata Data Lab writes "You can schedule any testing you want to do in production". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Teradata Data Lab is most compared with Teradata Vantage, Microsoft Power BI, Tableau and Oracle DataScience.com Platform.
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