Databricks

Summary
Databricks is a unified data and AI platform that provides solutions for data engineering, data warehousing, business intelligence, and machine learning. It aims to simplify ETL, data warehousing, governance, and AI for enterprises, enabling them to build and deploy AI applications with a data-centric approach.
Rationale
Databricks is a unified platform for data, analytics, and AI, offering solutions for enterprises to build better AI with a data-centric approach. It simplifies ETL, data warehousing, governance, and AI on the Data Intelligence Platform. While it doesn't explicitly offer all the features of the OpenAI platform, it does provide enterprise solutions and API access for integrating AI capabilities.
Pricing
Usage-based
Data Engineering
$0.15/ per use
  • Orchestrate data processing, machine learning and analytics pipelines
  • Build streaming and batch pipelines
  • Ingest data from a wide variety of sources with in-built connectors (Workflows, DLT, LakeFlow Connect)
Data Warehousing
$0.22/ per use
  • Run SQL queries for BI reporting, analytics and visualization
  • Get timely insights from data lakes
  • Available in Classic and Serverless (managed) Compute
Interactive workloads
$0.40/ per use
  • Run interactive data science and machine learning workloads
  • Build and deploy custom applications with full security and governance (Compute for Data Science, Compute for Apps)
Artificial Intelligence
$0.07/ per use
  • Build production-quality GenAI or ML apps across any use case (Mosaic AI Gateway, Mosaic AI Model Serving, Mosaic AI Foundation Model Serving, Shutterstock ImageAI, Mosaic AI Vector Search, Mosaic AI Agent Evaluation, Mosaic AI Model Training - fine-tuning, Mosaic AI Model Training - pre-training, Online Tables)
Most Expensive
Platform
Custom Pricing
  • Tiers and Add-ons
  • Managed Services
  • Data Transfer and Connectivity
  • Storage
  • Collaboration
Features
Must Have

API Access

Enterprise Solutions

Other

None