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."Databricks helps crunch petabytes of data in a very short period of time."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The solution is an impressive tool for data migration and integration."
"Ability to work collaboratively without having to worry about the infrastructure."
"The technical support is good."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"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."
"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."
"It has increased the speed of reporting."
"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."
"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."
"The initial setup is difficult."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"A lot of people are required to manage this solution."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The product should provide more advanced features in future releases."
"The integration and query capabilities can 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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