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Databricks

Databricks Data Intelligence Platform

Composite Score

8.8 /10

CX Score

9.2 /10

102 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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2026 Data Quadrant Champion

Latest Award, 2026

4 Top Rated Capabilities

6 Top Rated Features

Latest Award, 2026

2025 Emotional Footprint Champion

2025

Service Experience

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

97 Plan to Renew

79 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.

+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 81

Data Preparation Workflow

Metadata Management

Data Security & Masking

Data Access

Data Integration

Data Mining

Data Cleansing

Data Discovery and Search

Data Profiling

Data Enrichment

Data Connectors and Data Mashup

Vendor Capability Ratings

Average 80

Ease of Data Integration

Quality of Features

Business Value Created

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Availability and Quality of Training

Ease of IT Administration

Ease of Customization

Usability and Intuitiveness

Vendor Support

Also Featured in...

Machine Learning Platforms

Score 8.7

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

Analytical Data Store

Score 8.5

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

Retail Analytics

Score 7.9

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

Databricks Data Intelligence Platform Reviews

Siddharth S.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Great tool to query data

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

The Databricks Data Intelligence Platform stands out for its unified approach to analytics, integrating data engineering, data science, and machine learning into a single, collaborative workspace.

What is your favorite aspect of this product?

My favorite aspect of Databricks is its seamless integration of data engineering, data science, and machine learning in one platform.

What do you dislike most about this product?

i do not like only 30 days trail period and missing update mail from databrick

What recommendations would you give to someone considering this product?

i will recommend this to start up and data companies

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Pradeep p.

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

Validated Review

Verified Reviewer

Submitted Aug 2024

Powerful!!! but a bit pricey.

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

The Key Differentiator is through its unified platform that integrates data engineering, machine learning, data science and analytics platform. Seamless collaboration for real time sharing of notebooks, Support of popular languages like python, scala, sql, R , Robust cloud integeration.

What is your favorite aspect of this product?

Support of popular languages like python, scala, sql, R ,, easy to code notebook in any language

What do you dislike most about this product?

Cluster management and cost, it takes time for the cluster to be up

What recommendations would you give to someone considering this product?

improve the pricing on cluster management and reduce the time it takes for cluster to be up.

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Includes Product Enhancements

Akash D.

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

Validated Review

Verified Reviewer

Submitted May 2024

Fantastic product!

Likeliness to Recommend

7 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

ease of use

What is your favorite aspect of this product?

usability and accuracy

What do you dislike most about this product?

Nothing much but the UI

What recommendations would you give to someone considering this product?

would like to have user friendly Ui

Pros

Trustworthy
Transparent
Continually Improving Product
Reliable

Most Popular Databricks Data Intelligence Platform Comparisons

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Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

2026 Data Quadrant Champion

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

97 Plan to Renew

79 Satisfaction of Cost Relative to Value

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 Preparation Workflow Visual, repeatable pipelines to clean, transform, join, and enrich data from multiple sources, preparing trusted datasets for analysis and reporting.

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.

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

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 Mining Explorative automated analysis of data to discover patterns and trends

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.

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

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.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

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

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.

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.

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.

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 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.

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.

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

Siddharth S.

Great tool to query data

Likeliness to Recommend

Pros

Pradeep p.

Powerful!!! but a bit pricey.

Likeliness to Recommend

Pros

Akash D.

Fantastic product!

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Microsoft Power Query

Alteryx One

Tableau

Ataccama ONE Platform

Altair Monarch

Datameer Cloud

Feature Ratings

Data Preparation Workflow

Metadata Management

Data Security & Masking

Data Access

Data Integration

Data Mining

Data Cleansing

Data Discovery and Search

Data Profiling

Data Enrichment

Data Connectors and Data Mashup

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Business Value Created

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Availability and Quality of Training

Ease of IT Administration

Ease of Customization

Usability and Intuitiveness

Vendor Support