We performed a comparison between Databricks and Starburst Enterprise based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"Databricks has helped us have a good presence in data."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"The time travel feature is the solution's most valuable aspect."
"Databricks helps crunch petabytes of data in a very short period of time."
"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."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"We have noticed improvements in performance using Starburst Enterprise. It handles complex data, including reading and partitioning files. We can add a new catalog to Starburst Enterprise by providing connection details and service account information. This allows us to integrate with existing tools, such as the Snowflake database, which we use for data protection in our project."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"The integration features could be more interesting, more involved."
"The integration of data could be a bit better."
"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."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"CI/CD needs additional leverage and support."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Doesn't provide a lot of credits or trial options."
"Starburst Enterprise could improve by offering additional features similar to those provided by other SQL query tools. For example, incorporating functionalities like pivot tables would make it more feasible to use."
Earn 20 points
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Starburst Enterprise is ranked 14th in Data Science Platforms with 1 review. Databricks is rated 8.2, while Starburst Enterprise is rated 8.0. 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 Starburst Enterprise writes "Handles complex data and improves performance ". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Starburst Enterprise is most compared with Dremio, Starburst Galaxy, Alteryx, Apache Spark Streaming and Informatica Data Engineering Streaming.
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