Databricks vs Together AI
Relationship
Databricks Model Training and Together Custom Training do comparable work on model training; both also serve buyers who need to train or fine-tune a model; smaller scale (private).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 12 capabilities — Shares model hosting, model inference and model training.
Ludbee capability tags · from the product recordsShared product type — Both ship developer tool, infrastructure service and model API.
Ludbee product recordsSmaller scale — Together AI: $8.3B valuation, against Databricks's $190B valuation.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Together AI · 9
Recorded for Databricks. Together AI’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Databricks · 1
Recorded for Together AI. Databricks’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Databricks
Developer tool
A managed service for fine-tuning open-source LLMs or training custom models on enterprise data using dedicated GPU infrastructure.
Infrastructure service
Enterprise AI gateway providing centralized cost tracking/budgets, model access (Claude, GPT, Gemini, Grok and others), security/governance (access policies, PII/PHI filtering, audit trails), smart routing and observability across an organization's AI systems.
Model API
A managed endpoint service for deploying and governing classical ML models, generative models and agents from one interface.
Together AI
Developer tool
Custom model training service covering supervised fine-tuning and direct preference optimization, billed per token.
Infrastructure service
Dedicated, reserved GPU containers for model inference with guaranteed performance, billed per GPU-hour.
Reserved NVIDIA GPU clusters for training and large-scale inference.
Model API
Hosted API serving open-weight text, image and audio models, billed per token.
No counterpart
Databricks sells these in a stack layer with no product recorded for Together AI yet — nothing on the other side to compare them against.
Application
AI-native business-intelligence product comprising AI/BI Dashboards (AI-assisted dashboard/visualization creation) and Genie Spaces (conversational natural-language exploration of data), built into the Databricks Data + AI Platform with Unity Catalog governance and no per-seat licensing.
AI coworker (the evolution of the earlier Databricks Assistant/Genie) that lets business users ask questions, take action and drive outcomes over enterprise data via natural language, integrating with Slack, Teams, Jira, Google Drive and Salesforce, with mobile apps.
Agent platform
A control plane for building, evaluating, governing and monitoring AI agents across proprietary and open-source models, with native MCP support.
Platform
Databricks' tooling for building, fine-tuning, serving and evaluating models and agents on lakehouse data.
Lakehouse platform for storing, governing, querying and sharing enterprise data.
Data service
A managed hybrid semantic, keyword and vector search service (formerly Mosaic AI Vector Search) with automatic data sync and Unity Catalog governance.
Together AI sells these in a stack layer with no product recorded for Databricks yet — nothing on the other side to compare them against.
API service
Asynchronous bulk inference for workloads that do not need a real-time response, priced below Together's serverless rate.
A managed service for fine-tuning open-source models on a customer's own data and serving the result on Together's infrastructure.