Databricks

Databricks Data Intelligence Platform

Composite Score

8.8 /10

CX Score

9.2 /10

52 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

81 Satisfaction of Cost Relative to Value

2
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 97%
Negotiation and Contract:: 95%
Conflict Resolution:: 95%
Strategy & Innovation:: 98%
Service Experience:: 97%

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.

+97 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

Data Cleansing

Data Access

Cataloging

Data Security

Data Enrichment

Data Pre-Processing

Collaboration

Data Packaging

Data Profiling

Vendor Capability Ratings

Average 81

Quality of Features

Ease of Data Integration

Ease of Implementation

Business Value Created

Breadth of Features

Ease of Customization

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support

Also Featured in...

Machine Learning Platforms

Score 8.4

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Retail Analytics

Score 8.0

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Databricks Data Intelligence Platform Reviews

Giridhar P.

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

Validated Review

Verified Reviewer

Submitted Dec 2021

Fantastic product used for data processing

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Ability to process massive amount of data up to several TB. It's ability to interface with cloud enhances its volumetric to a huge extent.

What is your favorite aspect of this product?

It's ability to support Big Data needs. With the volume of data growing day to day, the ability of this tool to process several TB within a few minutes is a distinguishing feature. It supports several Machine Learning models for Artificial Intelligence.

What do you dislike most about this product?

It is difficult to regenerate the existing tables when there is loss of internet and cloud connection. Also, Databricks has discouraging analytical tools in terms of analytics and dashboard options. Databricks is bad in terms of optimization of CPUs when dealing with datacenters,

What recommendations would you give to someone considering this product?

Good product to consider when dealing with data processing needs. However, if you want to build analytics/dashboard alone, evaluate other tools.

Pros

Respectful
Helps Innovate
Reliable
Performance Enhancing

Rahul S.

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

Validated Review

Verified Reviewer

Submitted Nov 2021

Easy to use and excellent to work with big data!

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Native support in R, Scala, Python or SQL interface. Excellent provision of a map-reduce system for seamless distributed computing. Truly hides the details of a distributed architecture and allows developers to focus on the business logic as opposed to minor implementation details. Great for machine learning with large datasets.

What is your favorite aspect of this product?

Might be trivial, but the Jupyter notebook-like UI is extremely fruitful for explainable and maintainable code experiments. Great tool for collaboration with distributed systems optimizing a data intense pipeline.

What do you dislike most about this product?

I believe the tutorials and documents could be made more user-friendly. The initial stage of adaptation was a little slow due to the lack of information in some advanced but useful features on Databricks.

What recommendations would you give to someone considering this product?

I suggest starting with developing an end-to-end pipeline unrelated to your immediate project in order to get a hang of the product and the nuances. Going through the official tutorials on YouTube would definitely help as well, especially in terms of differentiating databricks from its competition or other products you may be considering. Since here they aren't trying to sell you the product, but exploring it to explain its usage.

Pros

Respectful
Appreciates Incumbent Status
Helps Innovate
Continually Improving Product

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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

81 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+97 Net Emotional Footprint

How much do users love Databricks Data Intelligence Platform?

Chart

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.

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

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.

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

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

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

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

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.

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.

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.

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.

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.

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

Retail Analytics

Databricks Data Intelligence Platform Reviews

Giridhar P.

Fantastic product used for data processing

Likeliness to Recommend

Pros

Rahul S.

Easy to use and excellent to work with big data!

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Microsoft Power Query

Alteryx

Tableau Prep

TIBCO EBX

Ataccama ONE Platform

Altair Monarch

1
Since last award

2
Since last award

Feature Ratings

Data Integration

Data Connectors and Data Mashup

Data Cleansing

Data Access

Cataloging

Data Security

Data Enrichment

Data Pre-Processing

Collaboration

Data Packaging

Data Profiling

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Ease of Implementation

Business Value Created

Breadth of Features

Ease of Customization

Availability and Quality of Training

Usability and Intuitiveness

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support