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5,332 views|4,432 comparisons
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29,064 views|24,210 comparisons
Top Review
Find out what your peers are saying about Anaconda vs. Databricks and other solutions. Updated: September 2021.
543,089 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"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."

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"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."

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Cons
"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."

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"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."

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Pricing and Cost Advice
"The licensing costs for Anaconda are reasonable.""The product is open-source and free to use."

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"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."

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Questions from the Community
Top Answer: 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… more »
Top Answer: 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… more »
Top Answer: Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
Top Answer: Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
Top Answer: The initial setup is pretty easy.
Ranking
6th
Views
5,332
Comparisons
4,432
Reviews
11
Average Words per Review
470
Rating
7.8
2nd
Views
29,064
Comparisons
24,210
Reviews
24
Average Words per Review
552
Rating
8.0
Comparisons
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Learn More
Overview

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.

Offer
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Learn more about Databricks
Sample Customers
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Top Industries
REVIEWERS
Financial Services Firm25%
Manufacturing Company25%
Non Tech Company13%
Pharma/Biotech Company13%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider17%
Financial Services Firm13%
Government8%
REVIEWERS
Financial Services Firm20%
Computer Software Company20%
Energy/Utilities Company10%
Consumer Goods Company10%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider15%
Financial Services Firm8%
Media Company5%
Company Size
REVIEWERS
Small Business38%
Large Enterprise63%
REVIEWERS
Small Business13%
Midsize Enterprise21%
Large Enterprise67%
VISITORS READING REVIEWS
Small Business26%
Midsize Enterprise18%
Large Enterprise57%
Find out what your peers are saying about Anaconda vs. Databricks and other solutions. Updated: September 2021.
543,089 professionals have used our research since 2012.

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.

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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.