Databricks Pros and Cons

Databricks Pros

Tristan Bergh
Data Scientist at a consultancy with 10,001+ employees
The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly.
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Abhijith Dattatreya
Business Intelligence and Analytics Consultant at a tech services company with 201-500 employees
Automation with Databricks is very easy when using the API.
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Alexandre Akrour
CEO at Inosense
We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search
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ShrikanthHebbar
Delivery Manager at Syniti
I work in the data science field and I found Databricks to be very useful.
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reviewer1235523
Machine Learning Engineer at a tech vendor with 51-200 employees
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.
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PankajGaikwad
Data Science Developer at a tech services company with 501-1,000 employees
Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.
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Databricks Cons

Tristan Bergh
Data Scientist at a consultancy with 10,001+ employees
The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment.
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Abhijith Dattatreya
Business Intelligence and Analytics Consultant at a tech services company with 201-500 employees
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.
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Alexandre Akrour
CEO at Inosense
The integration features could be more interesting, more involved.
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Find out what your peers are saying about Databricks, Amazon, Microsoft and others in Data Science Platforms. Updated: December 2019.
390,810 professionals have used our research since 2012.
ShrikanthHebbar
Delivery Manager at Syniti
It would be very helpful if Databricks could integrate with platforms in addition to Azure.
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reviewer1235523
Machine Learning Engineer at a tech vendor with 51-200 employees
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.
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PankajGaikwad
Data Science Developer at a tech services company with 501-1,000 employees
It should have more compatible and more advanced visualization and machine learning libraries.
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Find out what your peers are saying about Databricks, Amazon, Microsoft and others in Data Science Platforms. Updated: December 2019.
390,810 professionals have used our research since 2012.