Databricks

Databricks Data Intelligence Platform

Composite Score

8.8 /10

CX Score

9.1 /10

46 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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Awards & Recognition

Databricks Data Intelligence Platform won the following awards in the Data Preparation for Analytics category

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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation

Latest Award, 2024

2024 Data Quadrant Gold Medalist

2024

7 Top Rated Capabilities

12 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience
Contract Negotiation

2023

2023 Data Quadrant Gold Medalist

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

1
Since last award

100 Plan to Renew

82 Satisfaction of Cost Relative to Value

1
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.

+96 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

0% Neutral

100% Positive

Pros

Helps Innovate
Respectful
Client Friendly Policies
Fair

Feature Ratings

Average 84

Data Connectors and Data Mashup

Data Integration

Data Pre-Processing

Data Cleansing

Collaboration

Cataloging

Data Security

Data Access

Data Packaging

Data Enrichment

Data Labeling

Vendor Capability Ratings

Average 81

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Breadth of Features

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Vendor Support

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Machine Learning Platforms

Score 8.4

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

Databricks Data Intelligence Platform Reviews

Nayan D.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2025

Unified, scalable, and ideal for data and AI

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks shines with its unified Lakehouse architecture and seamless collaboration for data and AI.

What is your favorite aspect of this product?

Databricks' Lakehouse architecture seamlessly combines data warehousing and data lake capabilities for unified analytics.

What do you dislike most about this product?

Nothing to dislike about the product

What recommendations would you give to someone considering this product?

Leverage Databricks for scalable analytics, adopt Delta Lake for data reliability, and explore its collaborative notebooks for team efficiency

Pros

Helps Innovate
Reliable
Performance Enhancing
Trustworthy

Nicky R.

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

Validated Review

Verified Reviewer

Submitted Dec 2024

Leading data intelligence platform, for me

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Obviously, this should be its Apache spark processing engine. It is the major reason why we have been able to utilize Databricks to smoothly manage and process all data formats and types on a large scale. Its support for multiple data frameworks and languages is another area of differential, I think.

What is your favorite aspect of this product?

Its ability to unify a variety of workflows . This makes it easier for the different type of data professionals in my organization to collaborate and work together. Thereby increasing the speed and efficiency with which we can generate insights from large scale data pipelines.

What do you dislike most about this product?

There is a high chance for small sized teams to find Databricks expensive. Databricks pricing model is not favourable to small sized teams.

What recommendations would you give to someone considering this product?

For large scale data management, I think Databricks is a platform to try..

Pros

Reliable
Performance Enhancing
Enables Productivity
Unique Features

Pranil P.

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

Validated Review

Verified Reviewer

Submitted Dec 2024

Great product with great features

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Build for both data ingestion and data science

What is your favorite aspect of this product?

Streaming data pipelines

What do you dislike most about this product?

Steep learning curve

What recommendations would you give to someone considering this product?

Try first

Pros

Continually Improving Product
Efficient Service
Client Friendly Policies
Altruistic

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Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

Databricks Data Intelligence Platform Ratings

86 Likeliness to Recommend

1 Since last award

100 Plan to Renew

82 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+96 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 Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

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

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.

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

Data Security 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 Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

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

Data Labeling Ability to annotate/ label data to create a training data set.

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.

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.

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.

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.

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

Databricks Data Intelligence Platform Reviews

Nayan D.

Unified, scalable, and ideal for data and AI

Likeliness to Recommend

Pros

Nicky R.

Leading data intelligence platform, for me

Likeliness to Recommend

Pros

Pranil P.

Great product with great features

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Alteryx

Microsoft Power Query

Tableau Prep

Ataccama ONE Platform

Datameer Cloud

Informatica Data Integration & Engineering

1
Since last award

1
Since last award

Feature Ratings

Data Connectors and Data Mashup

Data Integration

Data Pre-Processing

Data Cleansing

Collaboration

Cataloging

Data Security

Data Access

Data Packaging

Data Enrichment

Data Labeling

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Breadth of Features

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Vendor Support

Informatica Data Integration & Engineering 