Databricks

Databricks Data Intelligence Platform

Composite Score

7.3 /10

CX Score

7.4 /10

8 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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Databricks Data Intelligence Platform Ratings

Real user data aggregated to summarize the product performance and customer experience.

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

100 Plan to Renew

75 Satisfaction of Cost Relative to Value

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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.

+86 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

12% Neutral

88% Positive

Pros

Reliable
Trustworthy
Unique Features
Efficient Service

Feature Ratings

Average 80

Analytics and Reporting

Distributed Processing

Platform Administration

Metadata Management

Real Time Capabilities

Analytics and Data Science Tools

Workload Management and Monitoring

Data Security

Data Management

Data Integration

Data Visualization

Vendor Capability Ratings

Average 76

Product Strategy and Rate of Improvement

Ease of Data Integration

Breadth of Features

Ease of IT Administration

Quality of Features

Availability and Quality of Training

Vendor Support

Business Value Created

Ease of Implementation

Usability and Intuitiveness

Ease of Customization

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Data Preparation for Analytics

Score 8.7

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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

Serguei P.

Role: Consultant
Industry: Finance
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted May 2025

Very good user friendly and powerful product

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

High level of customization capabilities

What is your favorite aspect of this product?

High level of integration with Datawarehouse

What do you dislike most about this product?

User interface can be improved

What recommendations would you give to someone considering this product?

This is powerful tool required deep knowledge

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Databricks Data Intelligence Platform Ratings

86 Likeliness to Recommend

100 Plan to Renew

75 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+86 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

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

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.

Platform Administration Includes back-end interface and administrative capabilities

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.

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

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

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

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

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

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

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

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.

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.

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.

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.

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.

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.

Also Featured in...

Data Preparation for Analytics

Machine Learning Platforms

Retail Analytics

Databricks Data Intelligence Platform Reviews

Ayobami S.

Databricks Platform lacks standout differentiation

Likeliness to Recommend

Pros

Serguei P.

Very good user friendly and powerful product

Likeliness to Recommend

Pros

Prisca Nwanneka E.

Powerful all-in-one platform with a learning curve

Likeliness to Recommend

Pros

Feature Ratings

Analytics and Reporting

Distributed Processing

Platform Administration

Metadata Management

Real Time Capabilities

Analytics and Data Science Tools

Workload Management and Monitoring

Data Security

Data Management

Data Integration

Data Visualization

Vendor Capability Ratings

Product Strategy and Rate of Improvement

Ease of Data Integration

Breadth of Features

Ease of IT Administration

Quality of Features

Availability and Quality of Training

Vendor Support

Business Value Created

Ease of Implementation

Usability and Intuitiveness

Ease of Customization