Write a review temporarily disabled. Our system flagged this request as potentially automated and has disabled form submission for security reasons. If you believe this is a mistake, please contact us. We’ll be happy to help resolve the issue.

Databricks

Databricks Data Intelligence Platform

Composite Score

8.5 /10

CX Score

8.7 /10

34 Reviews Write a Review

Claim Software

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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

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

Filter By

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.

86 Likeliness to Recommend

1
Since last award

94 Plan to Renew

1
Since last award

74 Satisfaction of Cost Relative to Value

2
Since last award

{y}

{name}

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

9% Neutral

91% Positive

Pros

Trustworthy
Effective Service
Friendly Negotiation
Unique Features

Feature Ratings

Average 79

Distributed Processing

Metadata Management

Real Time Capabilities

Platform Administration

Data Management

Analytics and Reporting

Analytics and Data Science Tools

Data Security

Workload Management and Monitoring

Data Integration

Data Visualization

Vendor Capability Ratings

Average 78

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Quality of Features

Ease of Data Integration

Business Value Created

Vendor Support

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

Also Featured in...

Data Preparation for Analytics

Score 8.8

View Databricks Data Intelligence Platform in this category (opens in a new tab)

Machine Learning Platforms

Score 8.7

View Databricks Data Intelligence Platform in this category (opens in a new tab)

Retail Analytics

Score 8.0

View Databricks Data Intelligence Platform in this category (opens in a new tab)

Databricks Data Intelligence Platform Reviews

Prisca Nwanneka E.

Role: Consultant
Industry: Media
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2025

Powerful all-in-one platform with a learning curve

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

It uniquely combines data engineering, analytics, and machine learning in one place using a lakehouse architecture.

What is your favorite aspect of this product?

I really like how well it integrates with Spark and MLflow—it makes building and managing ML models much smoother.

What do you dislike most about this product?

The interface can be a bit overwhelming at first, especially if you're not coming from a technical background.

What recommendations would you give to someone considering this product?

I'd suggest taking the time to go through the learning resources. It’s a great platform, but you’ll get the most out of it once you understand how the different pieces fit together.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Abhishek Y.

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

Validated Review

Verified Reviewer

Submitted Jun 2026

Powerful Unified Platform for Data and AI

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks Data Intelligence Platform stands out by unifying data storage,analytics,AI,and machine learning in a single lakehouse platform.Unlike many competitors that require separate tools,Databricks enables teams to work on the same data foundation,reducing data silos and simplifying workflows.

What is your favorite aspect of this product?

My favorite aspect of Databricks Data Intelligence Platform is its ability to bring data engineering,analytics,and AI together in one unified environment.This reduces complexity,improves collaboration across teams,and enables organizations to move from raw data to actionable insights much faster without relying on multiple disconnected tools.

What do you dislike most about this product?

Databricks Data Intelligence Platform is its learning curve.New users may find the platform complex due to its extensive features,configuration options,and advanced data engineering concepts.Additionally,costs can increase significantly as data volumes and compute usage grow,requiring careful resource management.

What recommendations would you give to someone considering this product?

If you're considering Databricks Data Intelligence Platform,start with a clear understanding of your data and AI objectives.Evaluate pricing based on expected workloads,invest in user training to reduce the learning curve,and take advantage of pilot projects to validate performance,scalability,and integration with your existing data ecosystem before full deployment.

Pros

Helps Innovate
Reliable
Trustworthy
Inspires Innovation

Jatin C.

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

Validated Review

Verified Reviewer

Submitted Apr 2026

advanced and scalable solution for data analysis

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

unified lakehouse architecture that combines the capabilities of a data warehouse and a data lake

What is your favorite aspect of this product?

fast query processing and analytics on large data sets

What do you dislike most about this product?

cost management can be challenging especially with larger clusters

What recommendations would you give to someone considering this product?

ideal for data analysts working with large and complex data sets

Pros

Helps Innovate
Continually Improving Product
Trustworthy
Unique Features

Most Popular Databricks Data Intelligence Platform Comparisons

Amazon Redshift
Compare
Snowflake
Compare
Google BigQuery
Compare
Microsoft Azure Synapse Analytics
Compare
Cloudera Data Platform
Compare
SAP HANA Cloud
Compare

See All Alternatives

Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

Databricks Data Intelligence Platform Ratings

86 Likeliness to Recommend

1 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.

Platform Administration Includes back-end interface and administrative capabilities

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

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

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

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 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.

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.

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.

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

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 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.

Also Featured in...

Data Preparation for Analytics

Machine Learning Platforms

Retail Analytics

Databricks Data Intelligence Platform Reviews

Prisca Nwanneka E.

Powerful all-in-one platform with a learning curve

Likeliness to Recommend

Pros

Abhishek Y.

Powerful Unified Platform for Data and AI

Likeliness to Recommend

Pros

Jatin C.

advanced and scalable solution for data analysis

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

1
Since last award

1
Since last award

2
Since last award

Feature Ratings

Distributed Processing

Metadata Management

Real Time Capabilities

Platform Administration

Data Management

Analytics and Reporting

Analytics and Data Science Tools

Data Security

Workload Management and Monitoring

Data Integration

Data Visualization

Vendor Capability Ratings

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Quality of Features

Ease of Data Integration

Business Value Created

Vendor Support

Ease of IT Administration

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness