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Databricks

Databricks Data Intelligence Platform

Composite Score

8.8 /10

CX Score

9.1 /10

92 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.

86 Likeliness to Recommend

1
Since last award

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

Data Security & Masking

Data Mining

Data Connectors and Data Mashup

Data Cleansing

Data Discovery and Search

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

Translation missing: en.product_page.ratings.score 8.7

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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

Cole Z.

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

Validated Review

Verified Reviewer

Submitted Oct 2025

Reliable Platform

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Unlike traditional data warehouses, Databricks lets me combine structured and unstructured manufacturing data (like sensor logs, video, and images) in one place.

What is your favorite aspect of this product?

I really appreciate that Databricks combines data engineering, analytics, and AI in one environment. This makes it easier for me to manage production data, monitor equipment performance, and apply predictive maintenance models without switching between tools.

What do you dislike most about this product?

When I first started using Databricks, the environment felt complex. Understanding Spark clusters, data orchestration, and notebook workflows required some training.

What recommendations would you give to someone considering this product?

I would definitely recommend Databricks Data Intelligence Platform to new clients in manufacturing who are dealing with large, complex datasets — especially those pursuing smart factory initiatives or predictive maintenance.

Pros

Helps Innovate
Reliable
Performance Enhancing
Trustworthy

Onyekachi U.

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

Validated Review

Verified Reviewer

Submitted Oct 2025

Powerful Data Preparation Engine

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks combines data lakes and warehouses into one Lakehouse platform, which makes preparing big data for analytics much easier

What is your favorite aspect of this product?

Its scalability

What do you dislike most about this product?

The learning curve can be steep if you’re not familiar with Spark or coding

What recommendations would you give to someone considering this product?

Go for Databricks if you need to prepare and clean large or complex datasets for analytics

Pros

Helps Innovate
Continually Improving Product
Efficient Service
Effective Service

Sienna W.

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

Validated Review

Verified Reviewer

Submitted Aug 2025

Incredible and Consistent Tool

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

The is the optimal approach that creates quality data preparation The inclusion of new business models allows businesses to develop suitable strategies

What is your favorite aspect of this product?

The affordability of this application is operational and it approves all business encounters

What do you dislike most about this product?

We have been suitably worked with the app without mistakes

What recommendations would you give to someone considering this product?

Definitely, I urge all to use this app

Pros

Acts with Integrity
Security Protects
Helps Innovate
Continually Improving Product

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How We Deliver

Events

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

86 Likeliness to Recommend

1 Since last award

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

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.

Data Discovery and Search Data exploration and search capabilities enabling business users to perform their own analyses and build insights.

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

Cole Z.

Reliable Platform

Likeliness to Recommend

Pros

Onyekachi U.

Powerful Data Preparation Engine

Likeliness to Recommend

Pros

Sienna W.

Incredible and Consistent Tool

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Microsoft Power Query

Alteryx One

Tableau Prep

Ataccama ONE Platform

Datameer Cloud

Altair Monarch

Schedule Your Call

1
Since last award

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

Data Security & Masking

Data Mining

Data Connectors and Data Mashup

Data Cleansing

Data Discovery and Search

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