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Anaconda Business vs Azure Databricks comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Anaconda Business
Ranking in Data Science Platforms
6th
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
31
Ranking in other categories
No ranking in other categories
Azure Databricks
Ranking in Data Science Platforms
14th
Average Rating
7.8
Reviews Sentiment
4.1
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Featured Reviews

reviewer2775498 - PeerSpot reviewer
tester at a tech vendor with 10,001+ employees
Isolate environments and switch package versions efficiently for smoother testing workflows
Overall, it works well, but there are a few things that could be better. Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries. Another thing I would appreciate is a cleaner, more intuitive interface for managing environments. It works, but a smoother UI could make the workflow faster. It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much. The documentation could be a bit clearer, especially for troubleshooting specific errors or setup issues. Sometimes I need to search extensively to find the exact steps. Also, having quicker or more detailed support responses would help when something unexpected comes up. These are not major problems, but improving them would definitely make the overall experience smoother. One small improvement I would add is smoother integration with IDEs. It works fine right now, but having even tighter or more automated syncing with tools such as VS Code or PyCharm would make the workflow faster. Perhaps also a few more built-in examples or quick-start guides for common setups would be helpful. Nothing major, just things that would make the experience even more user-friendly.
SK
Sr. Technical Specialist at Softcell Technologies Limited
Data pipelines have accelerated and support reliable analytics collaboration across teams
From our experience, Azure Databricks could be improved with simpler cluster management and more predictable cost visibility and enhanced native monitoring for large enterprise environments. We would also like richer governance features, better debugging for distributed Spark jobs, and more granular controls for workload optimization over and across multiple teams, which we have at multiple customer environments and within our organization. In day-to-day operations, troubleshooting failed Spark jobs can still be time-consuming, especially in complex distributed workloads. We would like clearer root cause diagnostics and more actionable performance recommendations within Azure Databricks. Better cost optimization insights at the job and cluster level would also help us manage large multiple team environments more efficiently.

Quotes from Members

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

Pros

"Using Anaconda Business, I have seen huge time-saving due to the automation of monitoring and deployment, which has led to significant improvements."
"Anaconda enabled me to plot the data on a graph and find the optimal area for where our warehouse should be located."
"When I try to develop an implementer model, I can just do some trial and error and see the output immediately."
"Anaconda Business has positively impacted my organization by easing the burden of querying large datasets that would otherwise slow down our work when using Excel, and since switching to Anaconda Business, I have improved productivity by around 80%, saving time in data crunching and exploration."
"It's one of the best tools available out there."
"The notebook feature is an improvement over RStudio."
"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."
"Anaconda Business has positively impacted my organization by enhancing security and compliance, providing a consistent environment across teams, improving productivity, ensuring reliable package availability even offline, streamlining governance and control, and allowing better integration with enterprise systems."
"My pipelines are now significantly faster compared to older ETL tools, as what used to take over 12 to 14 hours to process 2 GB of source data in Synapse Analytics now completes within 5 hours using the Azure Databricks framework for the transformation part, illustrating a substantial improvement in performance."
"The concept of Azure Databricks is a very good one, especially for the data products concept and idea."
"The best features in Azure Databricks for me are that it's easy to use, flexible, and has fast processing, and you can use multiple data types."
"Regarding the learning curve, it is a good technology; it is the first time I am working on a cloud platform, and before that, I have not worked on any data engineering tool that is on cloud, so it is good learning."
"Azure Databricks gives the capability to handle a lot of big data use cases and machine learning use cases, but machine learning use cases need quite a lot of compute power, and that is where the cost spikes up."
"Azure Databricks has significantly improved our ability to process data and large data sets, and deliver analytics projects faster for our customers."
 

Cons

"I haven't noticed any specific time savings or workflow ease from Anaconda Business."
"The solution would benefit from offering more automation."
"The major thing that needs to be improved about Anaconda Business is to be in an AI orchestrational space, and it needs to be more compatible with C++ for highlighting lightning-fast financial tool cases and financial tools, or building those tools."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"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."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The scalability is not great, but it's pretty good for medium-sized projects. We have more users lined up but we are not able to scale enough to accommodate all of them."
"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 that I have seen."
"From our experience, Azure Databricks could be improved with simpler cluster management and more predictable cost visibility and enhanced native monitoring for large enterprise environments."
"The biggest friction point I have experienced with Azure Databricks is its cost-effectiveness; for projects with less data volume, it is advisable to use Azure Fabric services instead, as Azure Databricks may not be suitable for low volume processing."
"At this point, I cannot comment on the cost being ideal; it is on the higher side, but in the cloud-based environment, compared to on-premise, it could be far lesser in cost."
"I have given the product a rating of six out of ten just because I do not use all of the functionalities, and I see some direction for improvement as well; also, every product has something to improve, and I have not used many features in this product."
"Lower pricing is currently my only focus and I'm still exploring Azure Databricks, so it's too early to say something, but overall, I'm saying that it is the future."
"The only concern is perhaps related to the pricing and cost that Azure Databricks incurs."
 

Pricing and Cost Advice

"The product is open-source and free to use."
"My company uses the free version of the tool. There is also a paid version of the tool available."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"The tool is open-source."
"The licensing costs for Anaconda are reasonable."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
University
10%
Manufacturing Company
7%
Construction Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise2
Large Enterprise20
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for Anaconda?
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
What needs improvement with Anaconda?
Anaconda Business could be improved by being more integrated with new CLI tools like Cloud Code or Codex.
What is your primary use case for Anaconda?
I use Anaconda Business day-to-day, with the main tool being Jupyter Notebook, which I have on my computer for cleaning and extracting data. I extract data from Excel using Anaconda Business and cl...
What is your experience regarding pricing and costs for Azure Databricks?
Regarding the licensing cost of Azure Databricks, it has evolved quite a lot. The compute is the biggest cost, as with any other big data solutions. The storage cost is almost minimal or negligible...
What needs improvement with Azure Databricks?
From our experience, Azure Databricks could be improved with simpler cluster management and more predictable cost visibility and enhanced native monitoring for large enterprise environments. We wou...
What is your primary use case for Azure Databricks?
Azure Databricks is our primary platform for building scalable data engineering and analytics pipelines for enterprise customers. We use it to inject, transform, and process large volumes of struct...
 

Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Information Not Available
Find out what your peers are saying about Anaconda Business vs. Azure Databricks and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.