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Databricks vs Datameer comparison

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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
95
Ranking in other categories
Cloud Data Warehouse (3rd), Data Science Platforms (1st), Data Management Platforms (DMP) (3rd), Streaming Analytics (1st)
Datameer
Average Rating
7.2
Number of Reviews
4
Ranking in other categories
BI on Hadoop (3rd)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.3%, up 8.8% compared to last year.
Datameer, on the other hand, focuses on BI on Hadoop, holds 15.0% mindshare, up 8.1% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.3%
Snowflake15.4%
Teradata9.2%
Other66.1%
Cloud Data Warehouse
BI on Hadoop Mindshare Distribution
ProductMindshare (%)
Datameer15.0%
AtScale Adaptive Analytics (A3)24.2%
JethroData15.8%
Other45.0%
BI on Hadoop
 

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.
it_user357459 - PeerSpot reviewer
Hadoop Developer at a tech services company with 10,001+ employees
It helps to onboard and enrich data quickly as it does not involve writing scripts or queries, but the transformation functions can be more mature.
The most valuable feature are the data transformation functions in the workbook It helps to onboard and enrich data quickly as it does not involve writing scripts or queries. Maintenance is easy. We would like to have more inbuilt connections to different types of sources. The transformation…

Quotes from Members

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

Pros

"I like the simplicity and ease of use."
"It can send out large data amounts."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops."
"It is fast, it's scalable, and it does the job it needs to do."
"The most valuable features of the solution are the hardware and the resources it quickly provides without much hassle."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"We can scale the product."
"Datameer has around 400 inbuilt functions that are very useful for any beginner and also it has a good visualization which helps end user to see that how the trend is showing."
"The built-in smart analytic tools are the most valuable features for me."
"Customer Service: It's very good."
"The most valuable feature are the data transformation functions in the workbook."
 

Cons

"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."
"Pricing is one of the things that could be improved."
"The initial setup is difficult."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"Performance could be improved."
"The product could be improved regarding the delay when switching to higher-performing virtual machines compared to other platforms."
"The solution is not exactly stable. We've faced a few bugs which have really affected it, especially when it comes to connecting with Spark."
"It would be better if it were faster. It can be slow, and it can be super fast for big data."
"It needs better integration with other enterprise technologies out of the box."
"When I run the single license on my MacBook Pro, the memory space can be an issue."
"Although this tool is very good, it has some limitations that I think could be removed in later versions."
"It is a good tool from an analysis perspective, but is not suitable for IT."
 

Pricing and Cost Advice

"The cost is around $600,000 for 50 users."
"The price of Databricks is reasonable compared to other solutions."
"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."
"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."
"Databricks' cost could be improved."
"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."
"The solution is based on a licensing model."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Outsourcing Company
6%
Healthcare Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise14
Large Enterprise60
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...
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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
Trustev, DetroitCrime Commission, Sears, Visa, citi, vivint, workday, Kabam, USA Olympic Team, CDW, BT, at&t, Bank of America, NetApp., expresso
Find out what your peers are saying about Snowflake Computing, Google, Databricks and others in Cloud Data Warehouse. Updated: October 2026.
920,769 professionals have used our research since 2012.