Review Summary
See a synthesized overview of the key takeaways from verified reviews of Databricks Data Intelligence Platform.
Overview
Product Information on Databricks Data Intelligence Platform
Updated 13th October 2025
What is Databricks Data Intelligence Platform?
Databricks Data Intelligence Platform Pricing
Overall experience with Databricks Data Intelligence Platform
BUSINESS ANALYST
250M - 500M USD, IT ServicesFAVORABLE
“Reliable Data Engineering Gains Balanced By Platform Complexity and Operational Demands”
Overall, the Databricks data intelligence platform has been a strong foundation for unifying data engineering, analytics, and ML in one place. It helped us move faster from raw data to reliable, shareable datasets and production ready pipelines. Collaboration improves because teams work in a consistent environment with shared governance and reusable patterns. Main tradeoff is that you get a lot of power and flexibility, but it requires clear standards and active platform ownership to avoid sprawl.
Data Scientist
1B - 3B USD, Travel and HospitalityCRITICAL
“Databricks Platform Facilitates Workflow But Notebook Performance Remains Slow”
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.
About Company
Company Description
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
Company type
Private
Year Founded
2013
Head office location
San Francisco, United States
Number of employees
5001 - 10000
Website
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- BUSINESS ANALYST50M-1B USDIT ServicesReview Source
Reliable Data Engineering Gains Balanced By Platform Complexity and Operational Demands
Overall, the Databricks data intelligence platform has been a strong foundation for unifying data engineering, analytics, and ML in one place. It helped us move faster from raw data to reliable, shareable datasets and production ready pipelines. Collaboration improves because teams work in a consistent environment with shared governance and reusable patterns. Main tradeoff is that you get a lot of power and flexibility, but it requires clear standards and active platform ownership to avoid sprawl. - DBA AND ARCHITECT10B+ USDHealthcare and BiotechReview Source
Databricks Provides Unified Lakehouse Architecture With Advanced AI and Governance Tools
Databricks data intelligence platform excels as a unified, enterprise-grade lake house solution with advanced generative AI capabilities, robust governance and scalable performance. It's ideal for organizations ready to invest in a powerful integrated data analytics and AI platform. - ENGINEERGov't/PS/EdEducationReview Source
Natural Language To SQL Enhances Exploration While Governance Learning Curve Persists
it worked really well as a unified platform for data engineering and analytics, and support strong for semantic intelligence. Also collaboration on Databricks is smooth - Data Scientist1B-10B USDTravel and HospitalityReview Source
Databricks Platform Facilitates Workflow But Notebook Performance Remains Slow
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. - Data and Analytics Manager50M-1B USDIT ServicesReview Source
Robust Data Platform with Great Capabilities with DDIP
Overall, The Databricks DIP provides a robust ecosystem for scalable data engineering, ML development and real -time analytics. It's a reliable platform for enterprise-level data workloads.
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