Databricks

Databricks Data Intelligence Platform

8.8 /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.

87 Likeliness to Recommend

3
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 Connectors and Data Mashup

Data Integration

Collaboration

Data Pre-Processing

Data Access

Data Enrichment

Data Cleansing

Cataloging

Data Security

Data Labeling

Data Packaging

Vendor Capability Ratings

Average 82

Ease of Data Integration

Quality of Features

Business Value Created

Availability and Quality of Training

Breadth of Features

Ease of IT Administration

Ease of Implementation

Usability and Intuitiveness

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

Siddharth S.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Great tool to query data

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

The Databricks Data Intelligence Platform stands out for its unified approach to analytics, integrating data engineering, data science, and machine learning into a single, collaborative workspace.

What is your favorite aspect of this product?

My favorite aspect of Databricks is its seamless integration of data engineering, data science, and machine learning in one platform.

What do you dislike most about this product?

i do not like only 30 days trail period and missing update mail from databrick

What recommendations would you give to someone considering this product?

i will recommend this to start up and data companies

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Karthika S.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Easy to implement and very stable data platform

Likeliness to Recommend

2 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks platform is offering small to mid level organizations like my organization with stable cloud based data platform. It is very easy to setup a python/scala based data ingestion platforms streaming live data in realtime for various input events. Lakehouse features are great in capturing and processing the Changed delta along into gold, silver layers. Compared with other products in the market, this is a solid platform which is reliable and predictable environment without unexcepted environment errors.

What is your favorite aspect of this product?

Unity catalog feature provided by databricks is really great tool for showing the lineage information across various tables data flow, adding description and tag information and easy to use access control. Lakehouse features in databricks is really great.

What do you dislike most about this product?

There is a little increased cost compared with hosting bigdata applications directly in AWS. But the features offered and time saved for developers and analysts is worth the cost for the management for small organizations.

What recommendations would you give to someone considering this product?

Databricks is a great platform which you can build on top of the cloud platform of our choice. The workspace works seamlessly and is very reliable for production grade applications. They do regular updates for features and enhance security and other features. So you can definitely try this product.

Pros

Continually Improving Product
Reliable
Enables Productivity
Unique Features

Cons

Under Delivered

Pradeep p.

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

Validated Review

Verified Reviewer

Submitted Aug 2024

Powerful!!! but a bit pricey.

Likeliness to Recommend

8 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

The Key Differentiator is through its unified platform that integrates data engineering, machine learning, data science and analytics platform. Seamless collaboration for real time sharing of notebooks, Support of popular languages like python, scala, sql, R , Robust cloud integeration.

What is your favorite aspect of this product?

Support of popular languages like python, scala, sql, R ,, easy to code notebook in any language

What do you dislike most about this product?

Cluster management and cost, it takes time for the cluster to be up

What recommendations would you give to someone considering this product?

improve the pricing on cluster management and reduce the time it takes for cluster to be up.

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Includes Product Enhancements

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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

87 Likeliness to Recommend

3 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 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

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

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

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

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

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

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.

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.

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 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.

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 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

Siddharth S.

Great tool to query data

Likeliness to Recommend

Pros

Karthika S.

Easy to implement and very stable data platform

Likeliness to Recommend

Pros

Cons

Pradeep p.

Powerful!!! but a bit pricey.

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Alteryx

Microsoft Power Query

Tableau Prep

Datameer Cloud

Ataccama ONE Platform

Altair RapidMiner

3
Since last award

3
Since last award

Feature Ratings

Data Connectors and Data Mashup

Data Integration

Collaboration

Data Pre-Processing

Data Access

Data Enrichment

Data Cleansing

Cataloging

Data Security

Data Labeling

Data Packaging

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Business Value Created

Availability and Quality of Training

Breadth of Features

Ease of IT Administration

Ease of Implementation

Usability and Intuitiveness

Ease of Customization

Product Strategy and Rate of Improvement

Vendor Support