We performed a comparison between Anaconda and Databricks based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I can use Anaconda for non-heavy tasks."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"The solution is stable."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"The solution is an impressive tool for data migration and integration."
"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."
"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"The integration with Python and the notebooks really helps."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The initial setup phase of Databricks was good."
"The setup is quite easy."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"The solution would benefit from offering more automation."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Anaconda can't handle heavy workloads."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."
"The tool should improve its integration with other products."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"Databricks has a lack of debuggers, and it would be good to see more components."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"This solution only supports queries in SQL and Python, which is a bit limiting."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Databricks is ranked 1st in Data Science Platforms with 78 reviews. Anaconda is rated 8.0, while Databricks is rated 8.2. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Anaconda is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI, IBM SPSS Statistics and IBM Watson Studio, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio. See our Anaconda vs. Databricks report.
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