Databricks
Unify analytics with collaborative notebooks and real-time data processing.
Contact_salesData
AI Readiness
17
17 / 100
AI Readiness
17 / 100
17AI Score
Features
Key capabilities
What makes Databricks stand out from the competition
Collaborative notebooks for data science and engineering
Real-time data processing with Apache Spark
Machine learning model management and deployment
Integrated data lakes for structured and unstructured data
Support for multiple programming languages including Python, R, and SQL
API & Developer Info
API Style
REST
Authentication
OAuth 2.0
SDKs
pythonjavascalar
Capabilities
WebhooksSandbox / Free Tier
Documentation
API Documentation Starting at $0/mo
Our Expert Verdict
“Databricks is worth considering for teams looking for data insights solutions. ”
Cons
- • No free tier
- • No MCP/AI agent support yet
Recommendation: Request a demo to evaluate Databricks for your team.
Ecosystem
Connects with your favorite tools
Databricks integrates with leading platforms to streamline your workflows
Integrations
Apache SparkAWSAzureGoogle Cloud PlatformTableauPower BIJupyter NotebooksSlackGitHub
AI & Automation Capabilities
REST APIN/A
MCP ServerN/A
Webhooks
Free TierN/A
Databricks Reviews & Data
User ratings, benchmarks & analysis
Shyft Research
Databricks AI Readiness Analysis
17out of 100
Databricks scores below average for AI readiness in the Data Insights category.
Methodology: Score based on API quality, MCP support, AI features, integrations, developer experience, and shipping velocity.
FAQs
Frequently asked questions
Common questions about Databricks and its capabilities
Databricks pricing starts at $0/mo. Contact Databricks for enterprise pricing and volume discounts.
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Frequently Asked Questions About Databricks
Databricks pricing starts at $0/mo. Contact Databricks for enterprise pricing and volume discounts.
Databricks is a top choice in the Data Insights category, with an AI Readiness Score of 17/100. The best tool depends on your specific needs, team size, and budget. Compare Databricks with alternatives to find the best fit for your workflow.
To get started with Databricks: 1) Visit their website and sign up for a trial. 2) Complete the onboarding flow to set up your workspace. 3) Connect your existing tools and import data. 4) Explore the core features for data insights. Most users are up and running within 30 minutes.
The best Databricks alternatives depend on your needs. Popular alternatives in the Data Insights space offer different strengths in pricing, features, and integrations. View our Databricks alternatives page for a detailed comparison with ratings and pricing.