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Databricks vs GoodData 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 (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
GoodData
Average Rating
7.0
Reviews Sentiment
8.1
Number of Reviews
2
Ranking in other categories
Data Visualization (23rd), Embedded BI (16th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.2%, up 8.5% compared to last year.
GoodData, on the other hand, focuses on Data Visualization, holds 1.4% mindshare, up 0.5% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks10.2%
Snowflake15.2%
Teradata8.5%
Other66.1%
Cloud Data Warehouse
Data Visualization Mindshare Distribution
ProductMindshare (%)
GoodData1.4%
Tableau Enterprise9.8%
Qlik Sense4.9%
Other83.9%
Data Visualization
 

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_user241098 - PeerSpot reviewer
Engagement Manager at a tech services company with 501-1,000 employees
​Setup is straightforward from a business user standpoint but MAQL needs to be easier.
Cloud connect Report generator MAQL needs to be easier Better row-level security for end-users I've used it for nine months, mainly for implementation and delivery to customers. No issues encountered. No issues encountered. When the source is big and/or the source is Netsuite there are…

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."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"We recommend Databricks, especially with the Azure cloud frameworks."
"The solution is an impressive tool for data migration and integration."
"The ability to stream data and the windowing feature are valuable."
"We can scale the product."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"Databricks has a Unified Catalog that assists with secured access and governance."
"It's a good product for your end to end BI needs when its all on the cloud."
 

Cons

"In my opinion, areas of Databricks that have room for improvement involve the dashboards. Until recently, everyone used third-party systems such as Power BI to connect to Databricks for dashboards and reports, but they're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"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."
"The integration features could be more interesting, more involved."
"There is room for improvement in visualization."
"I would like it if Databricks made it easier to set up a project."
"Databricks is still having some stability issues."
"When the source is big and/or the source is Netsuite there are issues."
 

Pricing and Cost Advice

"It is an expensive tool. The licensing model is a pay-as-you-go one."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"The price of Databricks is reasonable compared to other solutions."
"The product pricing is moderate."
"We're charged on what the data throughput is and also what the compute time is."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
6%
Construction Company
18%
Comms Service Provider
14%
Legal Firm
8%
Government
8%
 

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...
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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
AutoPilot, Redbubble, showpad, SpareFoot, LogMeIn, CSC
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: March 2026.
892,287 professionals have used our research since 2012.