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.
89 Likeliness to Recommend
100 Plan to Renew
80 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
- Continually Improving Product
- Reliable
- Performance Enhancing
- Unique Features
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
Native Business Intelligence Interface
Demand Forecast Integration
Automated Data Ingestion
Promotions Management
Automated Customer Data Ingestion and Harmonization
Low-Code Report Construction
Vendor Capability Ratings
Quality of Features
Ease of Implementation
Usability and Intuitiveness
Ease of Data Integration
Business Value Created
Breadth of Features
Ease of Customization
Ease of IT Administration
Product Strategy and Rate of Improvement
Vendor Support
Availability and Quality of Training
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Databricks Data Intelligence Platform Reviews
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
M.D.Abdul R.
- Role: Information Technology
- Industry: Consulting
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
Great diversified product, easy to use but costly.
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Data bricks leverages the different department works such as Data Analyst, Data engineering, Data Scientist and machine learning. A project requiring end to end work such as analysis of raw data from Data Analyst, Data cleansing and Preparation using Data engineering and finally forecasting using Data Science and Machine learning.
What is your favorite aspect of this product?
Data bricks can use Different languages such as pyspark, SQL and python using magic commands which makes the user to leverage different languages in the pipeline.
What do you dislike most about this product?
Due to the vast scope of data bricks for the project, Cost is comparatively high when compared to other technologies.
What recommendations would you give to someone considering this product?
Best product when project involving complex data ingestion and data processing.
Pros
- Helps Innovate
- Continually Improving Product
- Trustworthy
- Fair
Aminat S.
- Role: Finance
- Industry: Finance
- Involvement: End User of Application
Submitted Jul 2025
its provide unique capabilites for data processing
Likeliness to Recommend
What differentiates Databricks Data Intelligence Platform from other similar products?
Databricks Data Intelligence Platform stands out due to its unified analytics capabilities, powerful Apache Spark integration, scalable architecture, and collaborative features, making it a comprehensive solution for data-driven organizations.
What is your favorite aspect of this product?
My favorite aspect of Databricks Data Intelligence Platform is its unified analytics capabilities, allowing seamless integration of data engineering, data science, and business analytics in one platform, which enhances collaboration, scalability, and productivity for data-driven teams.
What do you dislike most about this product?
One potential downside of Databricks Data Intelligence Platform is its complexity, which can lead to a steep learning curve for new users, and cost can also be a concern for smaller-scale projects or organizations, but these are balanced by its powerful capabilities and scalability.
What recommendations would you give to someone considering this product?
To someone considering Databricks Data Intelligence Platform, I'd recommend assessing your organization's specific data needs, evaluating scalability requirements, and ensuring alignment with existing infrastructure. Additionally, take advantage of free trials or demos to test features and gauge user adoption before making a decision.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing