Databricks

Databricks Data Intelligence Platform

8.1 /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 Machine Learning Platforms category

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2023 Emotional Footprint Champion

Latest Award, 2023

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 2023

2023 Data Quadrant Gold Medalist

2023

3 Top Rated Capabilities

4 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2022

2022 Data Quadrant Gold Medalist

2022

2 Top Rated Capabilities

2 Top Rated Features

2022

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.

90 Likeliness to Recommend

100 Plan to Renew

78 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

3% Neutral

97% Positive

Pros

Continually Improving Product
Effective Service
Fair
Client's Interest First

Feature Ratings

Average 82

Pre-Packaged AI/ML Services

Performance and Scalability

Model Monitoring and Management

Data Ingestion

Data Labeling

Data Exploration and Visualization

Openness and Flexibility

Model Training

Data Pre-Processing

Algorithm Diversity

Feature Engineering

Vendor Capability Ratings

Average 78

Ease of Data Integration

Quality of Features

Usability and Intuitiveness

Business Value Created

Availability and Quality of Training

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Implementation

Ease of Customization

Vendor Support

Ease of IT Administration

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Data Preparation for Analytics

Score 8.8

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Databricks Data Intelligence Platform Reviews

Avinash G.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

Easy to use and really love it

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Data cataloging is the most efficient feature of the product and easy for use in development

What is your favorite aspect of this product?

provides a unified interface and tools for most data tasks

What do you dislike most about this product?

Nothing to dislike.. but some aspects in pricing but it's good

What recommendations would you give to someone considering this product?

I really like that ..I think every organisation use these tools for brush up with new era world

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Joshua R.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

Best end to end data platform

Likeliness to Recommend

9 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Best AI/ML services fully integrated into data warehouse.

What is your favorite aspect of this product?

Auto ML, experiments, registry and related services.

What do you dislike most about this product?

Setting up spark configs and clusters can get tedious.

What recommendations would you give to someone considering this product?

Free trial! you will enjoy it once setup

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Filippo C.

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

Validated Review

Verified Reviewer

Submitted Sep 2023

A fantastic platform for big data business!

Likeliness to Recommend

10 /10

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks Lakehouse Platform is very user-friendly and allows to cover the whole data pipeline, from raw data extraction and normalization, aggregation and elaboration through ML models to output delivery and data visualization. All in one place.

What is your favorite aspect of this product?

Customizability in cluster creation is my favourite aspect as well as the possibility to launch notebooks as jobs at given times.

What do you dislike most about this product?

There is nothing i dislike about this product.

What recommendations would you give to someone considering this product?

Highly recommended for any kind of industry and sector. It might be even used in some cases by non-tech people, after a careful training.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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Databricks Data Intelligence Platform

What is Databricks Data Intelligence Platform?

Company Details

Need Assistance?

Awards & Recognition

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

2022 Emotional Footprint Champion

2022 Data Quadrant Gold Medalist

Databricks Data Intelligence Platform Ratings

90 Likeliness to Recommend

100 Plan to Renew

78 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

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Data Ingestion 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 Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Model Training Ability to train a model with a range of data sets that you provide.

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

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Feature Engineering Ability to extract and build features from raw data.

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.

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.

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.

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.

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 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.

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.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Also Featured in...

Data Preparation for Analytics

Databricks Data Intelligence Platform Reviews

Avinash G.

Easy to use and really love it

Likeliness to Recommend

Pros

Joshua R.

Best end to end data platform

Likeliness to Recommend

Pros

Filippo C.

A fantastic platform for big data business!

Likeliness to Recommend

Pros

Most Popular Databricks Data Intelligence Platform Comparisons

Google Cloud Vertex AI

MathWorks Matlab

Microsoft Azure Machine Learning

AWS Machine Learning

Alteryx

DataRobot AI Platform

3
Since last award

Feature Ratings

Pre-Packaged AI/ML Services

Performance and Scalability

Model Monitoring and Management

Data Ingestion

Data Labeling

Data Exploration and Visualization

Openness and Flexibility

Model Training

Data Pre-Processing

Algorithm Diversity

Feature Engineering

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Usability and Intuitiveness

Business Value Created

Availability and Quality of Training

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Implementation

Ease of Customization

Vendor Support

Ease of IT Administration