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Anaconda Business vs Databricks comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 2025

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
11th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
20
Ranking in other categories
No ranking in other categories
Databricks
Ranking in Data Science Platforms
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Cloud Data Warehouse (9th), Streaming Analytics (1st)
 

Mindshare comparison

As of October 2025, in the Data Science Platforms category, the mindshare of Anaconda Business is 2.4%, up from 2.1% compared to the previous year. The mindshare of Databricks is 13.9%, down from 19.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Databricks13.9%
Anaconda Business2.4%
Other83.7%
Data Science Platforms
 

Featured Reviews

Rohan Sharma - PeerSpot reviewer
Provides all the frameworks and makes it easy to create environments for multiple projects
The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.
ShubhamSharma7 - PeerSpot reviewer
Capability to integrate diverse coding languages in a single notebook greatly enhances workflow
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

Quotes from Members

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

Pros

"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"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."
"Anaconda Business has positively impacted my organization because, when discussing the security point of view, it's exceptional; when comparing it to other solutions, Anaconda Business is superior."
"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The virtual environment is very good."
"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."
"The notebook feature is an improvement over RStudio."
"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."
"It helps integrate data science and machine learning capabilities."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"It is fast, it's scalable, and it does the job it needs to do."
"The technical support is good."
"The processing capacity is tremendous in the database."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
 

Cons

"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Anaconda consumes a significant amount of processing memory when working on it."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"Anaconda can't handle heavy workloads."
"My suggestion for improvement is that they should enhance the security point of view; it's good, but it needs some more advanced features."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The solution would benefit from offering more automation."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"The pricing of Databricks could be cheaper."
"One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files. Standardization of file paths on the system could help, as engineers sometimes struggle."
"The Databricks cluster can be improved."
"A lot of people are required to manage this solution."
 

Pricing and Cost Advice

"My company uses the free version of the tool. There is also a paid version of the tool available."
"The tool is open-source."
"The licensing costs for Anaconda are reasonable."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"The product is open-source and free to use."
"We're charged on what the data throughput is and also what the compute time is."
"Databricks' cost could be improved."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"The solution requires a subscription."
"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."
"There are different versions."
"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
8%
University
8%
Computer Software Company
8%
Financial Services Firm
18%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise2
Large Enterprise11
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise56
 

Questions from the Community

What do you like most about Anaconda?
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.
What is your experience regarding pricing and costs for Anaconda?
My experience with pricing, setup cost, and licensing is satisfactory.
What needs improvement with Anaconda?
I think Anaconda Business is performing well overall. My suggestion for improvement is that they should enhance the security point of view; it's good, but it needs some more advanced features.
Which do you prefer - Databricks or Azure Machine Learning Studio?
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 ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
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 orga...
 

Also Known As

No data available
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
 

Overview

 

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
Find out what your peers are saying about Anaconda Business vs. Databricks and other solutions. Updated: September 2025.
872,029 professionals have used our research since 2012.