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Databricks vs Yellowbrick Data Warehouse 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
Ranking in Cloud Data Warehouse
3rd
Ranking in Streaming Analytics
1st
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
96
Ranking in other categories
Data Science Platforms (1st), Data Management Platforms (DMP) (3rd)
Yellowbrick Data Warehouse
Ranking in Cloud Data Warehouse
20th
Ranking in Streaming Analytics
41st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
1
Ranking in other categories
Data Warehouse (27th), Cloud Migration (39th)
 

Mindshare comparison

As of November 2026, in the Cloud Data Warehouse category, the mindshare of Databricks is 9.3%, up from 8.8% compared to the previous year. The mindshare of Yellowbrick Data Warehouse is 1.7%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.3%
Yellowbrick Data Warehouse1.7%
Other89.0%
Cloud Data Warehouse
 

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.
JF
Senior Database Administrator at a healthcare company with 10,001+ employees
Daily monitoring has improved query troubleshooting and protected critical data workflows
The best features Yellowbrick Data Warehouse offers include workload management, which helps me see how different workloads are available on warehouse resources. It is very helpful for executive dashboards, ETL data loads, and ad-hoc analysis queries. Workload management helps me keep dashboards, ETL loads, and ad-hoc queries from affecting one another in practice by showing me how to find the problems. It allows me to monitor the resource pools, review the queries and quick queries, monitor resource consumption, set workload priorities according to business requirements, and investigate resource contention. It is also very helpful for security management because it is my responsibility to ensure users have appropriate access. My typical responsibilities include creating database users, creating roles, granting permissions, and revoking unnecessary permissions. Yellowbrick Data Warehouse also receives a large volume of data from external systems, such as SQL Server, Oracle, PostgreSQL, Hevo Data, Informatica, Python ETL applications, and cloud storage. It is easy to monitor whether the data loads successfully, as Yellowbrick Data Warehouse provides me with the YBLoad utility as a bulk loading mechanism. The accuracy and reliability of the output from Yellowbrick Data Warehouse are positive, and so far in my experience, it has been very helpful.

Quotes from Members

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

Pros

"The most valuable feature is the versatility of the ecosystem."
"The simplicity of development is the most valuable feature."
"The capability of the product is quite good and we are very satisfied with it overall."
"It's great technology."
"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."
"Before I used Databricks it took me a long time to do some functions and now with Databricks I can do them much quicker."
"Databricks is scalable, it operates three times faster than any of the other ecosystems which we have experimented on."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"The accuracy and reliability of the output from Yellowbrick Data Warehouse are positive, and so far in my experience, it has been very helpful."
 

Cons

"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."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"I present a lot of projects in various forums and seminars and there aren't a lot of credits and trial options with Databricks. Even if we want to explore, we're not able to and that's a challenge."
"We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller."
"Databricks is still having some stability issues."
"The product could be improved regarding the delay when switching to higher-performing virtual machines compared to other platforms."
"A lot of people are required to manage this solution."
"From a purely technical perspective, I would rate Databricks an eight out of ten. However, there is a failure in terms of user adoption."
"Yellowbrick Data Warehouse can be improved by cooperating with new upcoming technologies, such as those in cloud terms or AI."
 

Pricing and Cost Advice

"The solution is based on a licensing model."
"I would rate the tool’s pricing an eight out of ten."
"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"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."
"The price is okay. It's competitive."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."
"The price of Databricks is reasonable compared to other solutions."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Outsourcing Company
7%
Healthcare Company
6%
Retailer
18%
Comms Service Provider
13%
Financial Services Firm
13%
Computer Software Company
8%
 

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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Also Known As

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

Interactive Demo

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Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Neilsen, NC Solutions, TEOCO, Consubanco, Symphony Retail, ACI Worldwide, Bread Financial, Catalina Marketing
Find out what your peers are saying about Snowflake Computing, Google, Databricks and others in Cloud Data Warehouse. Updated: October 2026.
921,523 professionals have used our research since 2012.