We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"It helped us find find the optimal area for where our warehouse should be located."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The most advantageous feature is the logic building."
"The solution is stable."
"The notebook feature is an improvement over RStudio."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"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 virtual environment is very good."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Automation with Databricks is very easy when using the API."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"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."
"I work in the data science field and I found Databricks to be very useful."
"The time travel feature is the solution's most valuable aspect."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"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."
"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 integration features could be more interesting, more involved."
"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."
"It should have more compatible and more advanced visualization and machine learning libraries."
"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."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Pricing is one of the things that could be improved."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"The licensing costs for Anaconda are reasonable."
"The product is open-source and free to use."
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"The pricing depends on the usage itself."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"The price is okay. It's competitive."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.
Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data
Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.
Anaconda is ranked 6th in Data Science Platforms with 12 reviews while Databricks is ranked 2nd in Data Science Platforms with 24 reviews. Anaconda is rated 7.8, while Databricks is rated 8.0. The top reviewer of Anaconda writes "Responsive, sleek and had a beautiful interface that is pleasant to use". On the other hand, the top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Anaconda is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Microsoft BI, Cloudera Data Science Workbench and MathWorks Matlab, whereas Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Apache Flink. See our Anaconda vs. Databricks report.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.