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Databricks

Databricks Data Intelligence Platform

Composite Score
8.7 /10
CX Score
9.1 /10
Category
Databricks Data Intelligence Platform
8.7 /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.

87 Likeliness to Recommend

100 Plan to Renew

83 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.

+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 83

Data Integration

86

Data Connectors and Data Mashup

86

Data Pre-Processing

85

Collaboration

84

Data Access

83

Data Cleansing

83

Cataloging

83

Data Security

83

Data Packaging

82

Data Labeling

82

Data Enrichment

82

Vendor Capability Ratings

Average 81

Quality of Features

88

Ease of Data Integration

87

Business Value Created

83

Availability and Quality of Training

82

Ease of Implementation

82

Breadth of Features

81

Usability and Intuitiveness

80

Ease of Customization

80

Ease of IT Administration

80

Product Strategy and Rate of Improvement

78

Vendor Support

74

Databricks Data Intelligence Platform Reviews

Priyanka J.

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

Submitted Oct 2022

Fantastic product for Data Analystics

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

It's broad end features

What is your favorite aspect of this product?

Easy to manage, support of multiple language and can be interacted with different Azure services

What do you dislike most about this product?

Nothing specific

What recommendations would you give to someone considering this product?

Go for it

Pros

  • Helps Innovate
  • Reliable
  • Performance Enhancing
  • Trustworthy

Lisa-jess B.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: IT Leader or Manager
Validated Review
Verified Reviewer

Submitted Jun 2022

Databricks is a great platform.

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Great expertise that mixes ml-Runtimes – MLFlow and Spark. The flexibility to use Python, and SQL seamlessly in one platform. Since databricks notebooks are saved as python scripts in the background it’s superb to have both notebook and script experience and synchronize to git. Regular jobs, pre-installed ML environments, an abundance of documentation, and example use cases. There are tons of best practices obtainable through the Spark AI conference also.

What is your favorite aspect of this product?

I actually like that we can have queries. We’ve solely began to review them properly for each account, however there are limitless opportunities once we begin digging. It provides multi-cloud support across AWS etc. New options are sharply released every quarter. The UI is comparatively easy compared to AWS EMR or different similar products. The approach that works with the delta format. Providing tons of potentialities without the requirement to own a dedicated database administrator. It’ conjointly nice to talk concerning their flexibility.

What do you dislike most about this product?

Debugging code and using interactive applications outside databricks approved features is tough. It’s difficult to get a grasp of the documentation for beginners to the platform. Their Spark install is not forever compatible with third party tools (ex: geospatial) causing a delay in some package availability till an extra release. Some gotachs with distributed model coaching (Horovod). I’d prefer to access additional access to making queries and investigating many things. Generally, I get glitches with the account, it freezes and I can’t see the data.

What recommendations would you give to someone considering this product?

It’s highly efficient in executing queries, analyzing data, and performing complicated table joins if workloads are properly set up across high-performing clusters. The simplest part is looking for information on a couple of customers’ accounts that we cannot see on the other system we use. Therefore I like to recommend this.

Pros

  • Continually Improving Product
  • Reliable
  • Enables Productivity
  • Trustworthy

Amr M.

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

Submitted Jun 2022

Seamless Data Intelligence Service.

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks service has seamless integration with the world's top Data services platforms.

What is your favorite aspect of this product?

Databricks service is easy-to-use, backed by a well-established company, and follows development strategies rooted in academic research and open source communities.

What do you dislike most about this product?

I find Databricks service doesn't play well as a stand-alone solution.

What recommendations would you give to someone considering this product?

It would be great to spend some time on the official service learning tutorials, consider the official certifications, and get some hands-on practice before the actual service implementation.

Pros

  • Reliable
  • Performance Enhancing
  • Enables Productivity
  • Trustworthy

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