Compare Databricks vs. Teradata Data Lab

Databricks is ranked 4th in Data Science Platforms with 9 reviews while Teradata Data Lab is ranked 26th in Business Intelligence (BI) Tools with 1 review. Databricks is rated 8.2, while Teradata Data Lab is rated 8.0. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, the top reviewer of Teradata Data Lab writes "It has increased the speed of reporting". Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio and Cloudera Data Science Workbench, whereas Teradata Data Lab is most compared with Tableau, Databricks and Google Data Studio.
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9,441 views|8,518 comparisons
Teradata Data Lab Logo
953 views|812 comparisons
Most Helpful Review
Deepak Fernandes
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: February 2020.
399,757 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
Imageflow is a visual tool that helps make it easier for business people to understand complex workflows.I haven't heard about any major stability issues. At this time I feel like it's stable.The time travel feature is the solution's most valuable aspect.I work in the data science field and I found Databricks to be very useful.The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.Automation with Databricks is very easy when using the API.We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search

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It has increased the speed of reporting.

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Cons
The product needs samples and templates to help invite users to see results and understand what the product can do.Pricing is one of the things that could be improved.Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.It would be very helpful if Databricks could integrate with platforms in addition to Azure.The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.It should have more compatible and more advanced visualization and machine learning libraries.Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.The integration features could be more interesting, more involved.

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​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.​

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Pricing and Cost Advice
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.

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​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​.​When looking into implementing this product, pricing is the main issue followed by technical expertise​.

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Ranking
4th
Views
9,441
Comparisons
8,518
Reviews
6
Average Words per Review
555
Avg. Rating
8.7
Views
953
Comparisons
812
Reviews
1
Average Words per Review
235
Avg. Rating
8.0
Top Comparisons
Compared 18% of the time.
Compared 27% of the time.
Compared 15% of the time.
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics PlatformData Lab
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Databricks
Teradata
Overview

Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

A Teradata Data Lab lets you explore and examine new ideas by combining new data with existing data so its easy to identify new trends and insight or react to immediate business issues.
Offer
Learn more about Databricks
Learn more about Teradata Data Lab
Sample Customers
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, YeswareVolvo, Station Casinos, Network Solutions LLC, Telef‹nica de Argentina S.A., Bouygues Telecom
Top Industries
VISITORS READING REVIEWS
Software R&D Company42%
Media Company9%
Comms Service Provider8%
Government6%
No Data Available
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: February 2020.
399,757 professionals have used our research since 2012.
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