What is Databricks Data Intelligence Platform?
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. 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 your data. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
85 Likeliness to Recommend
1
Since last award
100 Plan to Renew
81 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+95 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Databricks Data Intelligence Platform?
Pros
- Respectful
- Reliable
- Unique Features
- Fair
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Integration
Data Access
Data Connectors and Data Mashup
Data Mining
Data Cleansing
Data Security
Data Enrichment
Data Profiling
Collaboration
Cataloging
Data Discovery and Search
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Business Value Created
Ease of Implementation
Product Strategy and Rate of Improvement
Breadth of Features
Availability and Quality of Training
Usability and Intuitiveness
Ease of IT Administration
Ease of Customization
Vendor Support
Also Featured in...
Machine Learning Platforms
Score 8.7
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Retail Analytics
Score 8.0
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Analytical Data Store
Score 7.9
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Databricks Data Intelligence Platform Reviews
Anjali R.
- Role: Consultant
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Sep 2025
I personally liked the software
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
It's Lakehouse Architecture that combines data warehousing and data lake capabilities a comprehensive MLOps platform built on MLflow for the full machine learning lifecycle, built-in generative AI features, and a collaborative, multi-language notebook environment for data scientists. This integrated, scalable platform streamlines data and AI workflows, enhances governance, and
What is your favorite aspect of this product?
It's fast ,efficient providing real time solutions to our problems
What do you dislike most about this product?
high costs, especially at scale, and its steep learning curve, particularly for those new to distributed computing or Spark
What recommendations would you give to someone considering this product?
Yes definitely
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Please tell us why you think this review should be flagged.
Ajudiya M.
- Role: Information Technology
- Industry: Telecommunications
- Involvement: IT Leader or Manager
Submitted Aug 2025
databricks an intelligent platform
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
databricks is like the all the raw material is being provided of course with the cost and you can build whatever you want using that raw material. everything single thing is transformable and can be changed in the databrciks so it is important to note that it will also change the way you built the app or data transformation on it.
What is your favorite aspect of this product?
the most favorite aspects of the databricks is that it is configurable no need to comprise in any situation but need to remember that it will also cost the amount of flexibility you want and amount of time you spent. so sometimes it becomes art to understand the things like how to manage and go with the flow in the databricks this is how.
What do you dislike most about this product?
the thing which is most dislike about it that whenever i create the workflow it will just demonstrate the thing in one single place like mix of every workflow either it would be bronze,silver,gold workflow.
What recommendations would you give to someone considering this product?
i would recommend to use databricks only for the transformation of data not for the orchaestartion of pipeline. you can do orchaestration from ADF integrating with databrciks.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
Ayobami S.
- Role: Operations
- Industry: Banking
- Involvement: IT Leader or Manager
Submitted May 2025
Databricks Platform lacks standout differentiation
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks offers a unified analytics platform that combines data engineering, machine learning, and collaborative notebooks, but these capabilities are becoming standard across competitors.
What is your favorite aspect of this product?
The platform's integration with Apache Spark and its scalability provide a solid foundation for big data processing and analytics workloads
What do you dislike most about this product?
The platform’s user interface can be unintuitive for new users, and there is a steep learning curve which delays initial adoption and productivity.
What recommendations would you give to someone considering this product?
Evaluate your team’s familiarity with Spark and cloud analytics before adoption, and invest in training resources to overcome the initial complexity.
Pros
- Helps Innovate
- Enables Productivity
- Continually Improving Product
- Reliable
Please tell us why you think this review should be flagged.
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