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 is a scalable solution. It is the largest advantage of the solution."
"It is a cost-effective solution."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"Ability to work collaboratively without having to worry about the infrastructure."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"The solution offers a free community version."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"It's easy to increase performance as required."
"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."
"I would like it if Databricks made it easier to set up a project."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"The Databricks cluster can be improved."
"Costs can quickly add up if you don't plan for it."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"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."
"The product should provide more advanced features in future releases."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"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."
"Their level of technical support is adequate. It could be better."
"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 31st 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, Microsoft Azure Machine Learning Studio and Dremio, whereas Teradata Data Lab is most compared with Teradata Vantage, Microsoft Power BI, Tableau and Oracle DataScience.com Platform.
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