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Databricks
databricks.comSummary
Databricks offers a unified Data Intelligence Platform that integrates data, analytics, and AI capabilities. It provides tools for data engineering, warehousing, and machine learning, enabling users to build and deploy AI applications, perform business intelligence, and manage data with robust governance and security features across multiple cloud environments.
Feature Matches8/13
See all8/13
Must Have
4 of 5
API Access
Safety & Alignment Framework
Fine-Tuning & Custom Models
Enterprise Solutions
Conversational AI
Other
4 of 8
Image Generation
Code Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingUsage-based
See allUsage-based
Data Engineering
$0.15 per use
- Lakeflow Jobs
- Lakeflow Declarative Pipelines
- LakeFlow Connect
Data Warehousing
$0.22 per use
- Run SQL queries for BI reporting, analytics and visualization to get timely insights from data lakes.
- Available in both Classic and Serverless (managed) Compute.
Interactive workloads
$0.40 per use
- Compute for Data Science
- Databricks Apps
- Run interactive data science and machine learning workloads.
- Build and deploy custom applications with the full security and governance of the Data Intelligence Platform.
Artificial Intelligence
$0.07 per use
- Mosaic AI Gateway
- Mosaic AI Model Serving
- Mosaic AI Foundation Model Serving
- Anthropic Foundation Model Serving
- Shutterstock ImageAI
- Mosaic AI Vector Search
- Mosaic AI Agent Evaluation
- Mosaic AI Model Training - fine-tuning
- Online Tables
- Build production-quality GenAI or ML apps across any use case
Operational Database
$0.40 per use
- Fully-managed Postgres transactional database for serving data and features to support applications built on Databricks.
Rationale
Databricks offers a comprehensive Data Intelligence Platform that aligns well with the OpenAI Platform's features. It provides API access for building and deploying ML and GenAI applications, including specific mentions of 'Mosaic AI Gateway' and 'Mosaic AI Model Serving'. The platform emphasizes 'unified governance for all data, analytics and AI assets' and 'strong governance and security', which covers the safety and alignment framework. Databricks also explicitly mentions 'fine-tuning' and 'pre-training' models, indicating support for custom models. Their focus on enterprise solutions is evident through their 'Enterprise' pricing tier and customer stories. Furthermore, the platform supports 'Shutterstock ImageAI' for image generation, 'code generation' through natural language assistance, and 'multimodal AI' capabilities. Their 'Mosaic Research Blog' and various publications demonstrate a commitment to research.
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See allBest alternatives to [Product] in 2024?
Reddit·tech_enthusiast·2d ago·+142
I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.
Show HN: We built a better [Product]
Hacker News·startup_founder·5d ago·+89
After struggling with [Product]'s limitations, we decided to build our own solution.
It handles edge cases much better and the API is actually documented properly.
Check it out at our site.
[Product] vs Competitor B - which one should I choose?
Reddit·confused_buyer·Oct 14·+67
Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.
Why we migrated away from [Product]
Hacker News·cto_mike·Oct 11·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.