Databricks

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About Databricks

Databricks is a data and AI company that provides the Data Intelligence Platform, a unified open lakehouse architecture for analytics, governance, and AI. Their platform democratizes insights across an organization through automation and natural language, enabling both technical and non-technical users to discover, analyze, and operationalize data as well as securely build and deploy data and AI products. Databricks was founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow and is used by over 15,000 organizations worldwide, including over 60% of the Fortune 500.

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Video Showcase: Databricks

AI Agents with Databricks in 5 Minutes

Who is Databricks for?

Business Executives

Educators

Students

Related Tags for Databricks

data science

big data analytics

machine learning

data engineering

collaborative platform

cloud-based

Apache Spark

data visualization

AI workloads

scalable infrastructure

Additional Notes on Databricks

Databricks integrates with popular data sources and tools such as AWS, Azure, and more. It also offers advanced features for machine learning and deep learning.

Tool Details

Pricing Details

Specifics about pricing tiers and costs.

Databricks is billed primarily via pay-per-use (usage-based) measured in Databricks Units (DBUs), with costs varying by cloud provider, compute type, region, and product tier (Premium, Enterprise, Standard—though Standard is being phased out on AWS/GCP). 'Free' refers to a 14-day trial. Significant discounts are available via direct sales or committed contracts ('Contact for Pricing' and 'Enterprise' plans). No new subscription or Freemium plans identified.

Platforms

Where this tool can be used (e.g., Web, Desktop).

Web App

Desktop App

Mobile App

CLI Tool

API

GDPR Compliant

Indicates if the provider claims to be compliant with the General Data Protection Regulation.

NSFW

Indicates if the tool is for adults only.

Accessibility

Information on accessibility features or compliance standards like WCAG.

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Tool Comparison

Analyze key differences between similar tools. Use the "Configure Attributes" button to customize the properties you see in the table below for a tailored comparison.

Comparing 4 AI tools.: Databricks, Google Gemini, Perplexity, DeepSeek

Show Differences Only

Databricks

Upvotes:

103

Avg. Rating:

N/A

Slogan:

Unified Data Analytics Platform

Category:

Pricing Model:

Free

Pay-per-Use

Contact for Pricing

Enterprise

Platforms:

Web App

Desktop App

Mobile App

CLI Tool

API

Target Audience:

Business Executives, Educators, Students

Website:

Google Gemini

Upvotes:

790

Avg. Rating:

5.0

Slogan:

Powerful AI ChatBot

Category:

Conversational AI

Search & Discovery

Writing & Translation

Pricing Model:

Free

Pay-per-Use

Platforms:

Web App

API

Mobile App

Target Audience:

AI Enthusiasts, Software Developers, Scientists, Content Creators, Marketing Professionals, Product Managers, Entrepreneurs, Educators, Students

Website:

Perplexity

Upvotes:

784

Avg. Rating:

5.0

Slogan:

Accurate answers, powered by AI.

Category:

Conversational AI

Search & Discovery

Writing & Translation

Pricing Model:

Freemium

Enterprise

Pay-per-Use

Contact for Pricing

Platforms:

Web App

API

Target Audience:

AI Enthusiasts, Software Developers, Scientists, Content Creators, Educators, Students, Entrepreneurs, Product Managers, Business Executives

Website:

DeepSeek

Upvotes:

702

Avg. Rating:

5.0

Slogan:

Revolutionizing AI with open, advanced language models and enterprise solutions.

Category:

Conversational AI

Code Assistance

Writing & Translation

Search & Discovery

Pricing Model:

Pay-per-Use

Contact for Pricing

Platforms:

Web App

API

Target Audience:

Software Developers, Scientists, Business Executives, Content Creators, AI Enthusiasts, Students, Product Managers, Entrepreneurs

Website: