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 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."
"The solution is very easy to use."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"We have the ability to scale, collaborate and do machine learning."
"Easy to use and requires minimal coding and customizations."
"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."
"Anyone who doesn't know SQL may find the product difficult to work with."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"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."
"I would like more integration with SQL for using data in different workspaces."
"The integration features could be more interesting, more involved."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"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 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.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.