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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 & IT SECURITY MANAGER
<50M USD, IT Services
FAVORABLE

“Assistance from Databricks Resolved Technical Challenges in Data Engineering Workflow”

5.0
Jul 22, 2025
I had previously done training several years ago and decided to use Databricks for some requirements for data engineering and data analysis. I was hitting a wall on an issue. I reached out to a connection on LinkedIn who worked at Databricks to see if they could help me figure out how to get some assistance. A few days later I was advised he had someone and was contacted officially by Databricks. We had a consultation on what issues I had, and they then got straight to work in helping me resolve them. Several days later and the problem had been resolved, and I am now working with them on additional project problems for other work. Determining best approaches and solving issues as they arise
Data Scientist
1B - 3B USD, Travel and Hospitality
CRITICAL

“Databricks Platform Facilitates Workflow But Notebook Performance Remains Slow”

3.0
Dec 17, 2025
The ability to access data easily and set up job runs in Databricks is great. However, trying to do any code development within the Databricks platform is a painstaking process since the Databricks notebooks are slow and laggy. Unfortunately, due to data privacy restrictions, I can't export the data out of Databricks for external code developement.

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

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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

There are many things I find useful. It's a single data platform and for a small operation that means less generalisation to cover many moving parts. It's easy to see where money is spent and then it's easy to ask good questions to optimize the performance. Need only two languages for most work: Python and SQL. The performance of many SQL tasks has been extremely good. It's relatively easy to configure most things. Generally, the documentation is up to date and valid to answer questions.

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Like

- Easy access to data tables (both writing and reading) - Ease of setting up scheduled jobs - Relatively easy to use interface

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Like

1. AI and ML capabilities are phenomenal and the possibilities of the Platform becoming a powerhouse for deploying ML Models and Systems is quite a lot. 2. The ease of managing multiple assets within the same location with Unity Catalog and Workspace-Based Asset Deployment provides a feeling of seamless integration. 3. The ability to connect different Systems as data sources to databricks is an amazing feature,and they never seem to disappoint with the speed of how they bring updates.

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Dislike

It could do with better dashboard capabilities and the ability for customers to be able to do more with it like dynamically skinning a dashboard dependent on user. A greater array of charting objects would be great.

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Dislike

The Databricks notebooks are very slow.

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Dislike

The constant changes to the UI and critical functionalities can sometimes feel overwhelming, The changes are not quite as big as that, but I have had instances where I had to revisit code or features just because something changed, can possibly introduce LTS versions if possible.

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Peer Discussions

Databricks Data Intelligence Platform Reviews and Ratings

4.6

(838 Ratings)

Rating Distribution

5 Star
64%
4 Star
34%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.4

Integration & Deployment

4.6

Service & Support

4.5

Product Capabilities

4.6

Last 12 Months
Filter Reviews
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  • DATA & IT SECURITY MANAGER
    <50M USD
    IT Services
    Review Source

    Assistance from Databricks Resolved Technical Challenges in Data Engineering Workflow

    5.0
    Jul 22, 2025
    I had previously done training several years ago and decided to use Databricks for some requirements for data engineering and data analysis. I was hitting a wall on an issue. I reached out to a connection on LinkedIn who worked at Databricks to see if they could help me figure out how to get some assistance. A few days later I was advised he had someone and was contacted officially by Databricks. We had a consultation on what issues I had, and they then got straight to work in helping me resolve them. Several days later and the problem had been resolved, and I am now working with them on additional project problems for other work. Determining best approaches and solving issues as they arise
  • BI Developer
    50M-1B USD
    Energy and Utilities
    Review Source

    Databricks ETL Pipelines UI Simplified, but Frequent Updates Can Feel Overwhelming

    4.0
    Aug 20, 2025
    In regard to the recent updates, Databricks has simplified its ETL pipelines UI which makes it easier to use, apart from that we have recently started using Power BI tasks which makes the integration between Data Lakes and downstream reports, apart from that I think it's truly revolutionary approach in centralized security through Unity Catalog is truly commendable.
  • DATA AND ANALYTICS MANAGER
    10B+ USD
    Banking
    Review Source

    Lakehouse Architecture Enables Scalable, Flexible Workflows Across Diverse Data Workloads

    5.0
    Jan 2, 2026
    DataBrick's Data intelligence platform feels like powerful, enterprise-grade analytics and AI ecosystem - built to unify data engineering, data science, analytics, and, machine learning in one cloud native environment. Its centered on the lake house architecture, which combines data warehouse ad data lake principles, while providing scalable performances and flexibility for diverse workloads.
  • Data Engineer
    <50M USD
    Software
    Review Source

    High Reliability and Collaboration Features Stand Out in Databricks Data Engineering

    5.0
    Jul 19, 2025
    As a Data Engineer who has built a full data platform on Databricks, I find it highly reliable, scalable, and developer friendly. The tight intergration with Spark, Delta Lake and orchestration tools makes it easy to build and maintain robust data pipelines
  • Engineer
    50M-1B USD
    IT Services
    Review Source

    Databricks Centralizes Diverse Workloads and Simplifies Incremental Data Loading

    5.0
    Jul 16, 2025
    Our Databricks experiance has been pretty solid. What we love is that we have one single place where different workloads can be implemented.
...
Showing Result 1-5 of 878

Recommended Gartner Research

  • 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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