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  3. Databricks Data Intelligence Platform
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Databricks Data Intelligence Platform

byDatabricks
in
4.6
2025
Market Presence: Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning), Analytics and Business Intelligence Platforms

Overview

Product Information on Databricks Data Intelligence Platform

Updated 13th October 2025

What is Databricks Data Intelligence Platform?

Databricks Data Intelligence Platform is a software designed to unify data, analytics, and artificial intelligence workloads under a single platform. It enables organizations to store, manage, and analyze structured and unstructured data at scale while supporting collaborative data engineering, machine learning, and business intelligence projects. The software provides tools for data warehousing, data lakehouse integration, automated data workflows, and governance capabilities, facilitating secure sharing and discovery of data assets. By streamlining the creation of analytics solutions, Databricks Data Intelligence Platform aids businesses in deriving insights, building machine learning models, and operationalizing data science processes to address complex analytical tasks and inform decision-making.

Databricks Data Intelligence Platform Pricing

The Databricks Data Intelligence Platform software uses a pay-as-you-go pricing model based on the consumption of compute resources measured in Databricks Units. Pricing varies depending on the cloud provider, selected tier, and features such as interactive clusters, jobs, and collaboration capabilities. Additional costs may apply for premium support and specific workloads such as machine learning and data engineering.

Overall experience with Databricks Data Intelligence Platform

Data Engineer
Gov't/PS/ED 5,000 - 50,000 Employees, Education
FAVORABLE

“Adopting Databricks Shifts Data Integration Approach but Increases Learning Demands”

4.0
Jan 15, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Analyst
30B + USD, Consumer Goods
CRITICAL

“Platform Offers Robust Features but Presents Steep Learning Curve for Beginners”

3.0
Feb 2, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2025
For Market:
Analytics and Business Intelligence Platforms

About Company

Company Description

Updated 25th September 2024

Databricks is a global company focusing on data and AI. At the core of Databricks is the Databricks Data Intelligence Platform which allows entire organizations to use data and AI to power a wide range of business use cases. It's built on a lakehouse to provide an open, unified foundation for all data and governance and is powered by a Data Intelligence Engine that understands the uniqueness of the organizations’ data. Databricks simplifies and accelerates enterprises' data and AI goals by unifying data, analytics and AI on one platform. Its key mission is to assist data teams in addressing some of the world's most challenging problems.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2013
Head office location
San Francisco, United States
Number of employees
5001 - 10000
Website
https://databricks.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Databricks Data Intelligence Platform Reviews and Ratings

4.6

(1119 Ratings)

Rating Distribution

5 Star
64%
4 Star
34%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Data Engineer
    Gov't/PS/Ed
    Education
    Review Source

    Adopting Databricks Shifts Data Integration Approach but Increases Learning Demands

    4.0
    Jan 14, 2026
    My organization up until just before 2021 was by and large an on premise shop. So most of our ETL tools, reporting and business intelligence tech stack was all based on premise. That all changed in the last few years as there has been a major shift towards embracing more of what cloud providers can enable our organization. Our journey began with Azure and talking about reporting, data science, machine learning and ELT/ETL you have to look at Azure Databricks. Databricks can seem a bit daunting at first as there is a lot of features packed into it but after using it for a month you will definitely get the hang of things and how to find things. Its definitely been a tool that has become our go-to when looking towards any sort of data integration or analysis
  • Data Engineer
    Gov't/PS/Ed
    Education
    Review Source

    Adopting Databricks Shifts Data Integration Approach but Increases Learning Demands

    4.0
    Jan 14, 2026
    My organization up until just before 2021 was by and large an on premise shop. So most of our ETL tools, reporting and business intelligence tech stack was all based on premise. That all changed in the last few years as there has been a major shift towards embracing more of what cloud providers can enable our organization. Our journey began with Azure and talking about reporting, data science, machine learning and ELT/ETL you have to look at Azure Databricks. Databricks can seem a bit daunting at first as there is a lot of features packed into it but after using it for a month you will definitely get the hang of things and how to find things. Its definitely been a tool that has become our go-to when looking towards any sort of data integration or analysis
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Recommended Gartner Insights

  • Critical Capabilities for Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
  • Magic Quadrant for Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
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User Sentiment About Databricks Data Intelligence Platform
Reviewer Insights for: Databricks Data Intelligence Platform
Deciding Factors: Databricks Data Intelligence Platform Vs. Market Average
Performance of Databricks Data Intelligence Platform Across Market Features

Databricks Data Intelligence Platform Likes & Dislikes

Like

What I really like about Databricks is that it is constantly innovating. The UI is constantly evolving along with its features. I believe I heard a quote that within a year over a hundred different features are released, and not only are features released but they continue to build on them so its not like once a new feature is released old ones are then removed. Secondly I really like its ability to be able to basically ingest any form of modern data (json, parquet, csv, xls, xml you name it) and be able to ingest it and start to derive insights right away during ingestion. The last thing that I really like about Databricks is the fact that it is truly trying to become a hub for all things data including data governance, analysis, data science, machine learning and a dash of reporting.

Like

What I really like about Databricks is that it is constantly innovating. The UI is constantly evolving along with its features. I believe I heard a quote that within a year over a hundred different features are released, and not only are features released but they continue to build on them so its not like once a new feature is released old ones are then removed. Secondly I really like its ability to be able to basically ingest any form of modern data (json, parquet, csv, xls, xml you name it) and be able to ingest it and start to derive insights right away during ingestion. The last thing that I really like about Databricks is the fact that it is truly trying to become a hub for all things data including data governance, analysis, data science, machine learning and a dash of reporting.

Like

What I really like about Databricks is that it is constantly innovating. The UI is constantly evolving along with its features. I believe I heard a quote that within a year over a hundred different features are released, and not only are features released but they continue to build on them so its not like once a new feature is released old ones are then removed. Secondly I really like its ability to be able to basically ingest any form of modern data (json, parquet, csv, xls, xml you name it) and be able to ingest it and start to derive insights right away during ingestion. The last thing that I really like about Databricks is the fact that it is truly trying to become a hub for all things data including data governance, analysis, data science, machine learning and a dash of reporting.

Dislike

It was hard to get started with it, training for non-technical and business users was scattered and there are still features being built (like Lakeflow Designer) for us.

Dislike

It was hard to get started with it, training for non-technical and business users was scattered and there are still features being built (like Lakeflow Designer) for us.

Dislike

It was hard to get started with it, training for non-technical and business users was scattered and there are still features being built (like Lakeflow Designer) for us.