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
Data Engineer
Gov't/PS/ED 5,000 - 50,000 Employees, EducationFAVORABLE
“Adopting Databricks Shifts Data Integration Approach but Increases Learning Demands”
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
Analyst
30B + USD, Consumer GoodsCRITICAL
“Platform Offers Robust Features but Presents Steep Learning Curve for Beginners”
For business and non-technical users, there is still a learning curve to use the platform. It has a very "tech" feel to the UI. The "Genie" AI features are very customizable but the interface takes some getting used. Business and non-technical users require training on data and AI lingo beforehand. From a business analyst perspective, there are a lot of robust features that make this platform superior to other similar platforms, such as Notebooks, integrated dashboarding, and the AI/ML playground.
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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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- Data EngineerGov't/PS/EdEducationReview Source
Adopting Databricks Shifts Data Integration Approach but Increases Learning Demands
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 - Sdet10B+ USDBankingReview Source
Scalable and Collaborative Data Platform with Strong Governance Needs in Enterprise Enviroments
Overall, our experience with the Databricks Data Intelligence Platform has been strong , particularly for large scale data engineering , analytics, and machine learning workloads in a cloud environment. The platform provides a unified workspace that enables collaboration between data engineers, developers, analysts, and testing teams. From a development and quality engineering perspective , it has helped streamline data pipeline development and improve scalability . That said the platform requires disciplined governance and structured adoption. Its flexibility is powerful , but without proper standards around data validation, CI/CD and environment management, complexity can increase as usage grows. When implemented with clear guidelines , it significantly improves productivity and cross team collaboration. - Director Quality Engineering10B+ USDBankingReview Source
Seamless data integration and analysis, with Python skills essential for custom AI
Databricks Data Intelligence Platform is a one-stop shop for integrating data, analytics, and machine learning solutions under a single umbrella. The great feature that improves its adoptibility is related to support for all the different types of data formats be it structured, semi-structured and even unstructured data which comprises of machine log files as well. Overall experience is great with support in-built LLM that enhances productivity by improving search and extracting fine grained metrics for making decisions. - It Services Associate10B+ USDIT ServicesReview Source
Databricks Unifies Data Engineering and ML Workloads with Collaborative Features
Databricks has been a strong platform for unifying our data engineering, analytics and ML workloads. It also helps to improve collaboration, simplified governance and easily for large scale. - IT Associate1B-10B USDHealthcare and BiotechReview Source
Balancing Performance and Complexity Using Databricks with Power BI and PowerApps
As a power platform engineer, my experience with the Databricks data intelligence platform has been exceptional, specifically in how it bridges the gap between complex data engineering and business facing applications. The platform server as a high performance backbone for our powerapps and power bi reports. Using Databricks SQL warehouse as a direct source has significantly improved our data refresh rates. Data intelligence aspect perticualry the semantic understanding of Lakehouse via Azure Catalog, ensures that the data we pull into the power paltform is well governeed and consistent. While there was a slight learning curve in optimizing the SQL warehouse for Power BI DirectQuery performance, the result has been a seamless flow of real-time data into our low-code ecosystem.
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