We performed a comparison between Anaconda and Databricks based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The virtual environment is very good."
"The most advantageous feature is the logic building."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"I can use Anaconda for non-heavy tasks."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"It helped us find find the optimal area for where our warehouse should be located."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"Databricks helps crunch petabytes of data in a very short period of time."
"Databricks has helped us have a good presence in data."
"The solution is an impressive tool for data migration and integration."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"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 interface could be improved. Other solutions, like Visual Studio, have much better UI."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"Anaconda can't handle heavy workloads."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"Anaconda should be optimized for RAM consumption."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Implementation of Databricks is still very code heavy."
"Would be helpful to have additional licensing options."
"Doesn't provide a lot of credits or trial options."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Databricks can improve by making the documentation better."
"There should be better integration with other platforms."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"Databricks could improve in some of its functionality."
Anaconda is ranked 18th in Data Science Platforms with 14 reviews while Databricks is ranked 1st in Data Science Platforms with 77 reviews. Anaconda is rated 7.8, 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 KNIME, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Azure Stream Analytics.
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