Databricks

Databricks Data Intelligence Platform

Composite Score

8.5 /10

CX Score

8.8 /10

37 Reviews Write a Review

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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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Awards & Recognition

Databricks Data Intelligence Platform won the following awards in the Analytical Data Store category

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2 Top Rated Capabilities

2 Top Rated Features

Latest Award, 2026

Contract Negotiation
Conflict Resolution

2025

Databricks Data Intelligence Platform Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Databricks Data Intelligence Platform.

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.

87 Likeliness to Recommend

2
Since last award

94 Plan to Renew

1
Since last award

74 Satisfaction of Cost Relative to Value

2
Since last award

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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.

+93 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?

0% Negative

8% Neutral

92% Positive

Pros

Trustworthy
Effective Service
Friendly Negotiation
Efficient Service

Feature Ratings

Average 79

Distributed Processing

Metadata Management

Real Time Capabilities

Data Management

Analytics and Reporting

Analytics and Data Science Tools

Platform Administration

Data Security

Data Integration

Workload Management and Monitoring

Data Visualization

Vendor Capability Ratings

Average 78

Breadth of Features

Ease of Implementation

Quality of Features

Ease of Data Integration

Product Strategy and Rate of Improvement

Business Value Created

Vendor Support

Ease of Customization

Usability and Intuitiveness

Availability and Quality of Training

Ease of IT Administration

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Data Preparation for Analytics

Score 8.8

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Machine Learning Platforms

Score 8.7

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Retail Analytics

Score 8.0

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Databricks Data Intelligence Platform Reviews

Fagbamigbe T.

Role: Operations
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2025

Empowered unified data workflow

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

It streamlines workflow and enhances collaboration among team members

What is your favorite aspect of this product?

Scalability

What do you dislike most about this product?

Language optimization

What recommendations would you give to someone considering this product?

It is worth the try

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

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Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

Databricks Data Intelligence Platform Ratings

87 Likeliness to Recommend

2 Since last award

94 Plan to Renew

1 Since last award

74 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+93 Net Emotional Footprint

How much do users love Databricks Data Intelligence Platform?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Metadata Management Easily manage metadata associated with customer data or audience segments.

Real Time Capabilities Ability to analytics and visualize data as soon as it becomes available in underline systems.

Data Management Includes data sharing, data storage, records management, and data security.

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Analytics and Data Science Tools Includes Analytics and Data science components such as AI, statistical and machine learning libraries

Platform Administration Includes back-end interface and administrative capabilities

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Workload Management and Monitoring Includes task, performance, monitoring and time management

Data Visualization Thematic visualization with the ability to change views, including color, pattern/icon, dot-density, chart, scaled-symbol, and 3D prism themes

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Also Featured in...

Data Preparation for Analytics

Machine Learning Platforms

Retail Analytics

Databricks Data Intelligence Platform Reviews

Fagbamigbe T.

Empowered unified data workflow

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Amazon Redshift

Snowflake

Google BigQuery

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

2
Since last award

1
Since last award

2
Since last award

Feature Ratings

Distributed Processing

Metadata Management

Real Time Capabilities

Data Management

Analytics and Reporting

Analytics and Data Science Tools

Platform Administration

Data Security

Data Integration

Workload Management and Monitoring

Data Visualization

Vendor Capability Ratings

Breadth of Features

Ease of Implementation

Quality of Features

Ease of Data Integration

Product Strategy and Rate of Improvement

Business Value Created

Vendor Support

Ease of Customization

Usability and Intuitiveness

Availability and Quality of Training

Ease of IT Administration