We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The solution is stable."
"The virtual environment is very good."
"The notebook feature is an improvement over RStudio."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The most advantageous feature is the logic building."
"The documentation is excellent and the solution has a very large and active community that supports it."
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"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 time travel feature is the solution's most valuable aspect."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The most valuable feature is the ability to use SQL directly with Databricks."
"I work in the data science field and I found Databricks to be very useful."
"The integration with Python and the notebooks really helps."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"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."
"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."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"When you install Anaconda for the first time, it's really difficult to update it."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"It's not easy to use, and they need a better UI."
"Anyone who doesn't know SQL may find the product difficult to work with."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Costs can quickly add up if you don't plan for it."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"A lot of people are required to manage this solution."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"The product is open-source and free to use."
"The licensing costs for Anaconda are reasonable."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"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."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"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."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
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 7th in Data Science Platforms with 12 reviews while Databricks is ranked 2nd in Data Science Platforms with 25 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, Cloudera Data Science Workbench, Microsoft BI 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.