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Databricks vs RStudio Connect 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

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (6th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
RStudio Connect
Average Rating
6.6
Reviews Sentiment
7.1
Number of Reviews
2
Ranking in other categories
Reporting (22nd), Data Visualization (17th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.4%, up 7.7% compared to last year.
RStudio Connect, on the other hand, focuses on Reporting, holds 0.7% mindshare, up 0.4% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks10.4%
Snowflake15.8%
Teradata8.0%
Other65.8%
Cloud Data Warehouse
Reporting Mindshare Distribution
ProductMindshare (%)
RStudio Connect0.7%
Microsoft Power BI17.4%
Tableau Enterprise16.5%
Other65.4%
Reporting
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
LM
Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Graphical learning experience needs improvement but handles large datasets effectively
RStudio Connect is very powerful statistically and can handle large datasets, even on a free version on a laptop. It offers excellent customer service and educational resources. KNIME allows for visual data manipulation, with nodes representing operations, making it user-friendly and effective for statistical analysis and predictions. I appreciate its ability to integrate R or Python scripts, combining ease of use with powerful procedures.

Quotes from Members

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

Pros

"The tool helps with data processing and analytics with large-scale data or big data since it is associated with managing data at a large scale."
"The main features of the solution are efficiency."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"Databricks integrates well with other solutions."
"We can scale the product."
"Databricks offers various courses that I can use, whether it's PySpark, Scala, or R."
"The solution is very simple and stable."
"The technical support is good."
"RStudio Connect is very powerful statistically and can handle large datasets, even on a free version on a laptop."
 

Cons

"The solution has some scalability and integration limitations when consolidating legacy systems."
"The integration and query capabilities can be improved."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"The integration features could be more interesting, more involved."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"They release patches that sometimes break our code. These patches are supposed to fix issues, but sometimes they cause disruptions."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"I rate my experience with RStudio Connect as average because I am not yet comfortable enough to provide a definitive assessment."
 

Pricing and Cost Advice

"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"Price-wise, I would rate Databricks a three out of five."
"The solution is based on a licensing model."
"The solution requires a subscription."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"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."
Information not available
report
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
8%
Healthcare Company
6%
Government
20%
Healthcare Company
11%
Financial Services Firm
10%
University
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise56
No data available
 

Questions from the Community

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...
What is your experience regarding pricing and costs for RStudio Connect?
Both KNIME and RStudio Connect are free to use on a laptop. However, if I want to use a big server version, it is subsidized.
What needs improvement with RStudio Connect?
It could work on visibility or improve that. In RStudio Connect ( /products/rstudio-connect-reviews ), the learning process is not as graphical as KNIME ( /products/knime-reviews ). Although I can ...
What is your primary use case for RStudio Connect?
I use the software primarily for statistics. I have used it on census data from the UK, which covers millions of individuals. Additionally, I have utilized it for surveys and educational purposes, ...
 

Comparisons

 

Also Known As

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

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
ENERGETIC INSURANCE, PRECISION ANALYTICS, REDFIN, TWO SIX CAPITALSTACK OVERFLOW, LIBERTY MUTUAL, EDUCATION SUPERHIGHWAY, UNIVERSITY OF OXFORD
Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse. Updated: February 2026.
884,873 professionals have used our research since 2012.