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Databricks

Databricks Data Intelligence Platform

Composite Score

8.8 /10

CX Score

9.1 /10

91 Reviews Write a Review

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.

Company Details

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Awards & Recognition

Databricks Data Intelligence Platform won the following awards in the Data Preparation for Analytics category

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2025 Emotional Footprint Champion

Latest Award, 2025

Service Experience

Latest Award, 2025

2025 Data Quadrant Champion

2025

4 Top Rated Capabilities

9 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation

2024

2024 Data Quadrant Champion

2024

7 Top Rated Capabilities

12 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience
Contract Negotiation

2023

2023 Data Quadrant Champion

2023

6 Top Rated Capabilities

11 Top Rated Features

2023

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.

85 Likeliness to Recommend

97 Plan to Renew

3
Since last award

79 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.

+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?

0% Negative

1% Neutral

99% Positive

Pros

Reliable
Unique Features
Respectful
Fair

Feature Ratings

Average 82

Metadata Management

Self Service and Ad Hoc Capabilities

Message Model

Data Preparation Workflow

Data Access

Data Integration

Lineage & Basic Auditing

Data Security & Masking

Data Mining

Data Connectors and Data Mashup

Data Cleansing

Vendor Capability Ratings

Average 81

Quality of Features

Ease of Data Integration

Business Value Created

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Ease of Customization

Ease of IT Administration

Vendor Support

Also Featured in...

Machine Learning Platforms

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Analytical Data Store

Translation missing: en.product_page.ratings.score 8.2

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Retail Analytics

Translation missing: en.product_page.ratings.score 7.9

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Databricks Data Intelligence Platform Reviews

Gourav J.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2024

Easy to use, but a bit pricey.

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Easy, fast, cost efficinet

What is your favorite aspect of this product?

unity catalogue and workflows

What do you dislike most about this product?

nothing as of now

What recommendations would you give to someone considering this product?

more interaction with data engineers

Pros

Helps Innovate
Caring
Over Delivered
Continually Improving Product

mahender R.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2026

unified platform for team level data science

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

integrates data engineering data science and machine learning into a single unified workspace.

What is your favorite aspect of this product?

integrates collaboration between teams data engineers data scientists.

What do you dislike most about this product?

cost management can be challenging especially in large clusters and team usage.

What recommendations would you give to someone considering this product?

adopt it as the primary platform for large and multi team data science projects.

Pros

Reliable
Saves Time
Fair
Acts with Integrity

Mohammad Adnan K.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2026

Good for analyzing the data using AI

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

combining a data lakehouse architecture with a Data Intelligence Engine to unify data, analytics, and AI in one place

What is your favorite aspect of this product?

Data intelligence engine

What do you dislike most about this product?

Nothing to dislike but need improvement

What recommendations would you give to someone considering this product?

Good for analyzing the data

Pros

Reliable
Trustworthy
Unique Features
Efficient Service

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Latest Research

Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

Databricks Data Intelligence Platform Ratings

85 Likeliness to Recommend

97 Plan to Renew

3 Since last award

79 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+95 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

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

Message Model Defines the schema and structure of event or API data messages, enabling validation, parsing, and transformation of streaming data for analytics.

Data Preparation Workflow Visual, repeatable pipelines to clean, transform, join, and enrich data from multiple sources, preparing trusted datasets for analysis and reporting.

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

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

Lineage & Basic Auditing Tracks transformation steps, column dependencies, and change history to ensure data transparency, traceability, and reproducibility in analytics workflows.

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

Data Mining Explorative automated analysis of data to discover patterns and trends

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

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

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.

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.

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.

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.

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.

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.

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.

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

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.

Also Featured in...

Machine Learning Platforms

Analytical Data Store

Retail Analytics

Databricks Data Intelligence Platform Reviews

Gourav J.

Easy to use, but a bit pricey.

Likeliness to Recommend

Pros

mahender R.

unified platform for team level data science

Likeliness to Recommend

Pros

Mohammad Adnan K.

Good for analyzing the data using AI

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Microsoft Power Query

Alteryx

Tableau Prep

Ataccama ONE Platform

Datameer Cloud

Altair Monarch

Schedule Your Call

3
Since last award

2
Since last award

Feature Ratings

Metadata Management

Self Service and Ad Hoc Capabilities

Message Model

Data Preparation Workflow

Data Access

Data Integration

Lineage & Basic Auditing

Data Security & Masking

Data Mining

Data Connectors and Data Mashup

Data Cleansing

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Business Value Created

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Implementation

Availability and Quality of Training

Usability and Intuitiveness

Ease of Customization

Ease of IT Administration

Vendor Support