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."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."
"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 product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."
"It helped us find find the optimal area for where our warehouse should be located."
"The solution is stable."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The virtual environment is very good."
"The initial setup is pretty easy."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"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."
"The integration with Python and the notebooks really helps."
"The fast data loading process and data storage capabilities are great."
"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."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"When you install Anaconda for the first time, it's really difficult to update it."
"It also takes up a lot of space."
"Anaconda can't handle heavy workloads."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"The solution would benefit from offering more automation."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"The integration of data could be a bit better."
"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."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"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 and query capabilities can be improved."
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, Dremio and Microsoft Azure Machine Learning Studio. See our Anaconda vs. Databricks report.
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