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Databricks

Databricks Data Intelligence Platform

Composite Score

8.7 /10

CX Score

9.1 /10

66 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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2025 Data Quadrant Champion

Latest Award, 2025

4 Top Rated Capabilities

9 Top Rated Features

Latest Award, 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

100 Plan to Renew

81 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.

+94 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

2% Neutral

98% Positive

Pros

Respectful
Reliable
Unique Features
Fair

Feature Ratings

Average 83

Data Integration

Data Access

Data Connectors and Data Mashup

Data Mining

Data Enrichment

Data Security

Data Cleansing

Collaboration

Data Profiling

Cataloging

Data Pre-Processing

Vendor Capability Ratings

Average 81

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Breadth of Features

Product Strategy and Rate of Improvement

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Vendor Support

Also Featured in...

Machine Learning Platforms

Score 8.6

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Retail Analytics

Score 8.0

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Analytical Data Store

Score 7.9

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

Databricks Data Intelligence Platform Reviews

Ravi K.

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

Validated Review

Verified Reviewer

Submitted Feb 2025

antastic product!

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks excels in processing large datasets quickly, making it ideal for real-time analytics and machine learning.

What is your favorite aspect of this product?

easy of development, fast processing

What do you dislike most about this product?

nothing at this moment

What recommendations would you give to someone considering this product?

Azure Databricks is optimized from the ground up for performance and cost-efficiency in the cloud

Pros

Reliable
Performance Enhancing
Enables Productivity
Unique Features

Syed A.

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

Validated Review

Verified Reviewer

Submitted Jan 2025

A High Demanded Data Tool

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databrick's unified approach to data and AI workloads highlights it among other tools. It's data integration, data science and flexibility capabilities additionally highlighting it. The more suitable feature of Apache Spark making it more valuable product in the Data Engineering tool Market.

What is your favorite aspect of this product?

The Apache Spark is my favourite one in this tool. Because whoever knows python can easily handle Databricks as well. Databricks providing the simple IDE UI with some programming languages support which helps a data engineer to work independently without hesitating about the languages in data processing.

What do you dislike most about this product?

Databricks providing lot of integration mechanisms to connect with different technologies, but in some cases, it's not working as expected in the integration part. And because of its little lack of integration support, many users find difficulties in their workflow.

What recommendations would you give to someone considering this product?

I can suggest this technology to those who is considering AI capabilities, Integration with the big Cloud platforms (AWS, Azure, or Google Cloud), and Scalability. Because these features are big plus in this tool and will provide more value to a business.

Pros

Performance Enhancing
Saves Time
Helps Innovate
Continually Improving Product

Milan P.

Role: Public Sector
Industry: Government
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Dec 2024

Huge fan of Databricks and their products

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks stands out because it combines data engineering, analytics, and machine learning in one platform.

What is your favorite aspect of this product?

My favorite aspect of Databricks is its Lakehouse architecture, which combines the flexibility of data lakes with the reliability of data warehouses.

What do you dislike most about this product?

I don't have anything that comes to mind that I would dislike about this product.

What recommendations would you give to someone considering this product?

Databricks is trusted by major tech players, making it a solid choice for handling large-scale data and advanced analytics efficiently.

Pros

Continually Improving Product
Helps Innovate
Reliable
Enables Productivity

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Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

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

100 Plan to Renew

81 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+94 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 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 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 Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Mining Explorative automated analysis of data to discover patterns and trends

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

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

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

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

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

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.

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.

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.

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 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.

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

Retail Analytics

Analytical Data Store

Databricks Data Intelligence Platform Reviews

Ravi K.

antastic product!

Likeliness to Recommend

Pros

Syed A.

A High Demanded Data Tool

Likeliness to Recommend

Pros

Milan P.

Huge fan of Databricks and their products

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Microsoft Power Query

Alteryx

Tableau Prep

TIBCO EBX

Ataccama ONE Platform

Altair Monarch

Feature Ratings

Data Integration

Data Access

Data Connectors and Data Mashup

Data Mining

Data Enrichment

Data Security

Data Cleansing

Collaboration

Data Profiling

Cataloging

Data Pre-Processing

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Breadth of Features

Product Strategy and Rate of Improvement

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Vendor Support