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Databricks

Databricks Data Intelligence Platform

Composite Score
8.8 /10
CX Score
9.1 /10
Category
Databricks Data Intelligence Platform
8.8 /10

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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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.

85 Likeliness to Recommend

1
Since last award

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.

+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
2% Neutral
98% Positive

Pros

  • Respectful
  • Reliable
  • Unique Features
  • Fair

Feature Ratings

Average 83

Data Integration

87

Data Access

86

Data Connectors and Data Mashup

83

Data Mining

83

Data Security

83

Data Cleansing

83

Data Profiling

82

Data Enrichment

82

Collaboration

81

Cataloging

81

Data Discovery and Search

81

Vendor Capability Ratings

Average 81

Quality of Features

85

Ease of Data Integration

84

Business Value Created

84

Ease of Implementation

82

Product Strategy and Rate of Improvement

82

Breadth of Features

81

Availability and Quality of Training

81

Usability and Intuitiveness

80

Ease of IT Administration

79

Ease of Customization

79

Vendor Support

76

Databricks Data Intelligence Platform Reviews

Sienna W.

  • Role: Information Technology
  • Industry: Machinery
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Aug 2025

Incredible and Consistent Tool

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

The is the optimal approach that creates quality data preparation The inclusion of new business models allows businesses to develop suitable strategies

What is your favorite aspect of this product?

The affordability of this application is operational and it approves all business encounters

What do you dislike most about this product?

We have been suitably worked with the app without mistakes

What recommendations would you give to someone considering this product?

Definitely, I urge all to use this app

Pros

  • Acts with Integrity
  • Security Protects
  • Helps Innovate
  • Continually Improving Product

Aminat S.

  • Role: Finance
  • Industry: Finance
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Jul 2025

its provide unique capabilites for data processing

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks Data Intelligence Platform stands out due to its unified analytics capabilities, powerful Apache Spark integration, scalable architecture, and collaborative features, making it a comprehensive solution for data-driven organizations.

What is your favorite aspect of this product?

My favorite aspect of Databricks Data Intelligence Platform is its unified analytics capabilities, allowing seamless integration of data engineering, data science, and business analytics in one platform, which enhances collaboration, scalability, and productivity for data-driven teams.

What do you dislike most about this product?

One potential downside of Databricks Data Intelligence Platform is its complexity, which can lead to a steep learning curve for new users, and cost can also be a concern for smaller-scale projects or organizations, but these are balanced by its powerful capabilities and scalability.

What recommendations would you give to someone considering this product?

To someone considering Databricks Data Intelligence Platform, I'd recommend assessing your organization's specific data needs, evaluating scalability requirements, and ensuring alignment with existing infrastructure. Additionally, take advantage of free trials or demos to test features and gauge user adoption before making a decision.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing

Ndianaobong B.

  • Role: Consultant
  • Industry: Technology
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Jun 2025

Robust Lakehouse Platform,

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Combines data engineering, data science, and analytics workloads in one scalable platform—supporting structured, semi-structured, and streaming data seamlessly.

What is your favorite aspect of this product?

Its unified development environment—empowering both IT professionals and business analysts to collaborate using shared tools and workflows—significantly boosts productivity and aligns multi-disciplinary teams under a cohesive platform.

What do you dislike most about this product?

Databricks can be extremely expensive, especially when clusters are left running and not auto-terminated

What recommendations would you give to someone considering this product?

Adopt auto-termination clusters with workload-aware sizing and regularly review job runtimes, enable Spot/Preemptible instances when appropriate, use Unity Catalog and job isolation for governance, and set cost alerts in the Databricks Cost Management dashboard to prevent runaway spending.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing

Most Popular Databricks Data Intelligence Platform Comparisons

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