Databricks

Databricks Data Intelligence Platform

Composite Score

8.7 /10

CX Score

9.0 /10

58 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.

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 Data Quadrant Champion

Latest Award, 2025

12 Top Rated Capabilities

25 Top Rated Features

Latest Award, 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

1
Since last award

100 Plan to Renew

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

2% Neutral

98% Positive

Pros

Respectful
Fair
Transparent
Reliable

Feature Ratings

Average 82

Data Integration

Data Access

Data Enrichment

Data Connectors and Data Mashup

Data Cleansing

Data Pre-Processing

Data Profiling

Data Security

Data Modelling Tools

Data Mining

Cataloging

Vendor Capability Ratings

Average 80

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...

Machine Learning Platforms

Score 8.6

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Retail Analytics

Score 8.0

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Databricks Data Intelligence Platform Reviews

Ayobami S.

Role: Operations
Industry: Banking
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted May 2025

Databricks Platform lacks standout differentiation

Likeliness to Recommend

10 /10

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

Kimberly O. O.

Role: Consultant
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2025

Strong Security and Governance but Complex Setup

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks combines AI data driven intelligence and combines structure and unstructured for analytics and AI

What is your favorite aspect of this product?

My favorite aspect would it’s AI powered Data intelligence capabilities, it’s recommended dataset making it easy to use data efficiently

What do you dislike most about this product?

I think it’s complexity for new users, it is not beginner friendly, you are expected to have good knowledge of Apache spark, cloud infrastructure etc

What recommendations would you give to someone considering this product?

I would recommend to anyone looking to purchase databricks setting up governance early to avoid security and compliance issues

Pros

Reliable
Performance Enhancing
Enables Productivity
Unique Features

Nayan D.

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

Validated Review

Verified Reviewer

Submitted Jan 2025

Unified, scalable, and ideal for data and AI

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks shines with its unified Lakehouse architecture and seamless collaboration for data and AI.

What is your favorite aspect of this product?

Databricks' Lakehouse architecture seamlessly combines data warehousing and data lake capabilities for unified analytics.

What do you dislike most about this product?

Nothing to dislike about the product

What recommendations would you give to someone considering this product?

Leverage Databricks for scalable analytics, adopt Delta Lake for data reliability, and explore its collaborative notebooks for team efficiency

Pros

Helps Innovate
Reliable
Performance Enhancing
Trustworthy

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Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

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

1 Since last award

100 Plan to Renew

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

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

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 Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

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.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

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

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

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

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

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.

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.

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.

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.

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.

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

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.

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

Retail Analytics

Databricks Data Intelligence Platform Reviews

Ayobami S.

Databricks Platform lacks standout differentiation

Likeliness to Recommend

Pros

Kimberly O. O.

Strong Security and Governance but Complex Setup

Likeliness to Recommend

Pros

Nayan D.

Unified, scalable, and ideal for data and AI

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Microsoft Power Query

Alteryx

Tableau Prep

TIBCO EBX

Ataccama ONE Platform

Altair Monarch

1
Since last award

2
Since last award

Feature Ratings

Data Integration

Data Access

Data Enrichment

Data Connectors and Data Mashup

Data Cleansing

Data Pre-Processing

Data Profiling

Data Security

Data Modelling Tools

Data Mining

Cataloging

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