Databricks

Databricks Data Intelligence Platform

8.6 /10

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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. The winners in every industry will be data and AI companies. 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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2024 Data Quadrant Gold Medalist

Latest Award, 2024

7 Top Rated Capabilities

12 Top Rated Features

Latest Award, 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.

89 Likeliness to Recommend

1
Since last award

100 Plan to Renew

84 Satisfaction of Cost Relative to Value

3
Since last award

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Emotional Footprint Overview

+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 Integration

Data Connectors and Data Mashup

Collaboration

Data Cleansing

Data Pre-Processing

Data Security

Data Access

Data Labeling

Data Enrichment

Cataloging

Data Packaging

Vendor Capability Ratings

Average 81

Ease of Data Integration

Quality of Features

Business Value Created

Usability and Intuitiveness

Breadth of Features

Availability and Quality of Training

Ease of IT Administration

Ease of Implementation

Ease of Customization

Product Strategy and Rate of Improvement

Vendor Support

Also Featured in...

Machine Learning Platforms

Score 8.1

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Databricks Data Intelligence Platform Reviews

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

Alenandro S.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

To organize and analyze data.

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

The Apache Spark distributed processing engine, providing excellent performance and scalability to handle massive volumes of data, is the foundation on which Databricks is built. Using Spark makes it simple with Databricks, allowing you to fully utilize its potential without having to deal with its underlying complexity.

What is your favorite aspect of this product?

Because it combines technologies for artificial intelligence, machine learning, data processing, and analysis, I appreciate Databricks Data Intelligence Platform. This enables groups to collaborate within a single environment on data projects from ingestion to production.

What do you dislike most about this product?

The complexity of data projects and the growth of clusters can make managing and maintaining Databricks infrastructure more difficult and call for specific knowledge of systems administration and performance optimization.

What recommendations would you give to someone considering this product?

I suggest... Elastic scaling based on user requirements is built into Databricks. It can manage any size data set—from tiny to petabytes—and adapt its computing power automatically to demand.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Bir B.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Worth the money, makes development efficient

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks DIP is great 'cause: It stores all kinds of data easily with its Lakehouse setup. It works with lots of tools and doesn't tie you down to one. It's all about Machine Learning, making data, ML, and insights in one place. You can pick which cloud you want to use. It can handle a ton of data without breaking a sweat.

What is your favorite aspect of this product?

It's all about Machine Learning, making data, ML, and insights in one place.

What do you dislike most about this product?

Nothing as of now.

What recommendations would you give to someone considering this product?

Learning curve might be steep, but its really efficient.

Pros

Effective Service
Caring
Saves Time
Respectful

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Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

Databricks Data Intelligence Platform Ratings

89 Likeliness to Recommend

1 Since last award

100 Plan to Renew

84 Satisfaction of Cost Relative to Value

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

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

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

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

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

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

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

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

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.

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.

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.

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 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.

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.

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.

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

Akash D.

Fantastic product!

Likeliness to Recommend

Pros

Alenandro S.

To organize and analyze data.

Likeliness to Recommend

Pros

Bir B.

Worth the money, makes development efficient

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Alteryx

Microsoft Power Query

Tableau Prep

Datameer Cloud

Informatica Data Integration & Engineering

Altair Monarch

1
Since last award

3
Since last award

Feature Ratings

Data Integration

Data Connectors and Data Mashup

Collaboration

Data Cleansing

Data Pre-Processing

Data Security

Data Access

Data Labeling

Data Enrichment

Cataloging

Data Packaging

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Business Value Created

Usability and Intuitiveness

Breadth of Features

Availability and Quality of Training

Ease of IT Administration

Ease of Implementation

Ease of Customization

Product Strategy and Rate of Improvement

Vendor Support

Informatica Data Integration & Engineering 