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Databricks

Databricks Data Intelligence Platform

Composite Score

8.1 /10

CX Score

8.3 /10

22 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.

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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

95 Plan to Renew

5
Since last award

74 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.

+92 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
Fair
Altruistic

Feature Ratings

Average 81

Distributed Processing

Metadata Management

Real Time Capabilities

Analytics and Reporting

Analytics and Data Science Tools

Platform Administration

Data Management

Workload Management and Monitoring

Data Integration

Data Security

Data Visualization

Vendor Capability Ratings

Average 77

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Ease of Data Integration

Business Value Created

Quality of Features

Vendor Support

Ease of IT Administration

Availability and Quality of Training

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 8.7

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Retail Analytics

Score 7.9

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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

Kosisochukwu M.

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

Validated Review

Verified Reviewer

Submitted Nov 2025

Powerful platform for big data work

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

What sets Databricks apart is how well it brings data engineering and machine learning together in one place. Instead of juggling separate tools for storage, processing, and model development, everything runs smoothly within a single environment. Features like Delta Lake and the collaborative notebooks make it much easier for teams to work on the same data without running into version issues or performance problems.

What is your favorite aspect of this product?

My favorite thing about Databricks is how quickly it can process large datasets. Even complicated transformations run fast, and the platform handles scaling automatically, so I don’t have to worry about managing servers or clusters manually. It makes big data work feel much more manageable.

What do you dislike most about this product?

The part I struggle with the most is the cost. It’s easy for expenses to climb if jobs aren’t optimized or if clusters run longer than expected. The interface can also feel overwhelming for new users, especially those without a strong technical background.

What recommendations would you give to someone considering this product?

I’d recommend taking time to plan how you’ll manage compute and permissions from the start. Databricks is incredibly powerful, but you get the most out of it when you set clear job schedules, monitor usage, and train your team on basic optimization. If you handle those pieces early, the platform delivers a lot of value.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Sushmita D.

Role: Consultant
Industry: Consulting
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jul 2025

Its a reliable smart software

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Its nature to keep and show transparent track recirds makes it more better

What is your favorite aspect of this product?

Most transparency and reliablty to traci progress

What do you dislike most about this product?

Could be more scalable

What recommendations would you give to someone considering this product?

Yes must a buy

Pros

Continually Improving Product
Enables Productivity
Saves Time
Respectful

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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

95 Plan to Renew

5 Since last award

74 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+92 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.

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

Platform Administration Includes back-end interface and administrative capabilities

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

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

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.

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.

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.

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.

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

Prisca Nwanneka E.

Powerful all-in-one platform with a learning curve

Likeliness to Recommend

Pros

Kosisochukwu M.

Powerful platform for big data work

Likeliness to Recommend

Pros

Sushmita D.

Its a reliable smart software

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

5
Since last award

2
Since last award

Feature Ratings

Distributed Processing

Metadata Management

Real Time Capabilities

Analytics and Reporting

Analytics and Data Science Tools

Platform Administration

Data Management

Workload Management and Monitoring

Data Integration

Data Security

Data Visualization

Vendor Capability Ratings

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Ease of Data Integration

Business Value Created

Quality of Features

Vendor Support

Ease of IT Administration

Availability and Quality of Training

Usability and Intuitiveness

Ease of Customization