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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Real user data aggregated to summarize the product performance and customer experience.
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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.
86 Likeliness to Recommend
100 Plan to Renew
79 Satisfaction of Cost Relative to Value
2
Since last award
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
- Fair
- Transparent
- Reliable
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 Enrichment
Data Connectors and Data Mashup
Data Cleansing
Data Pre-Processing
Data Security
Data Mining
Data Profiling
Cataloging
Collaboration
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Product Strategy and Rate of Improvement
Ease of Implementation
Business Value Created
Breadth of Features
Availability and Quality of Training
Usability and Intuitiveness
Ease of IT Administration
Ease of Customization
Vendor Support
Also Featured in...
Databricks Data Intelligence Platform Reviews
TamunoBelema A.
- Role: Consultant
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2025
Databricks: A robust, unified, and scalable choice
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
The pioneering of Lakehouse architecture.
What is your favorite aspect of this product?
The fact that data engineers can build reliable ETL, data analyst can run high performance SQL and data scientists/engineers can build and deploy complex data, all on the same dat, without costly, complex and error-prone movement or duplication
What do you dislike most about this product?
Cost optimization and predictability
What recommendations would you give to someone considering this product?
Prioritize unity catalog for data governance.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
Olamide A.
- Role: Information Technology
- Industry: Biotechnology
- Involvement: End User of Application
Submitted Apr 2025
Streamlined Data and AI Collaboration.
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
What sets Databricks Data Intelligence Platform apart is its strong unification of data engineering, analytics, and machine learning within a single collaborative environment. Unlike many other platforms that require stitching together different tools for ETL, analysis, and model development, Databricks offers a seamless workflow from data ingestion to AI. Its support for multiple languages (SQL, Python, R, Scala), robust notebook interface, and deep integration with Apache Spark give teams flexibility and performance.
What is your favorite aspect of this product?
My favorite aspect of Databricks is how effortlessly it brings data teams together in one environment. The ability to collaborate in real-time on notebooks, switch between languages, and move from data exploration to model deployment without changing tools makes the workflow incredibly efficient.
What do you dislike most about this product?
Some of the more advanced features and tighter controls—like granular security settings or advanced orchestration—are locked behind higher-tier plans. This can limit flexibility for smaller teams or those on the Starter plan who still want enterprise-level capabilities.
What recommendations would you give to someone considering this product?
If you're considering Databricks, start with a clear idea of your team's technical comfort level. It’s powerful, but it shines most when used by teams familiar with coding in Python or SQL. Make sure to invest time in setting up proper governance and explore the community resources—they can really speed up your learning curve.
Pros
- Helps Innovate
- Efficient Service
- Effective Service
- Respectful
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Ravi K.
- Role: Information Technology
- Industry: Retail
- Involvement: IT Development, Integration, and Administration
Submitted Feb 2025
antastic product!
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks excels in processing large datasets quickly, making it ideal for real-time analytics and machine learning.
What is your favorite aspect of this product?
easy of development, fast processing
What do you dislike most about this product?
nothing at this moment
What recommendations would you give to someone considering this product?
Azure Databricks is optimized from the ground up for performance and cost-efficiency in the cloud
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Unique Features
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