Databricks vs Decart

Databricks — Infrastructure · Private · $190B valuation · 5 of 5 figures sourced  |  Decart — Foundation Models · Private · $4B valuation · 3 of 3 figures sourced

Relationship

Databricks Model Serving and Cogito do comparable work on model hosting; both also serve buyers who need to build on a hosted model API and serve a model in production; 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 capabilitiesShared product typeSmaller scale

3 of 12 capabilities — Shares model hosting, model inference and model training.

Ludbee capability tags · from the product records

Shared product type — Both ship application, infrastructure service and model API.

Ludbee product records

Smaller scale — Decart: $4B valuation, against Databricks's $190B valuation.

Ludbee scale figures · valuation, market cap or revenue estimate

Aligned comparison

FieldDatabricksDecart
Valuation$190B$4B Decart has 48× smaller
Employees10,000—
Founded20132023 10 yrs later
StatusPrivatePrivate match
CategoryInfrastructureFoundation Models
Stack layerAgent platform, Application, Data service, Developer tool, Infrastructure service, Model API, PlatformAPI service, Application, Infrastructure service, Model API
HeadquartersSan Francisco, USATel Aviv, Israel

Capability overlap

Shared · 3

Model hostingModel inferenceModel training

Not verified for Decart · 9

Agent orchestrationData analysisDocument extractionEvaluation and observabilityGuardrails and safetyPresentation generationKnowledge retrievalVector searchWorkflow automation

Recorded for Databricks. Decart’s product records say nothing either way — a missing record is not a missing capability.

Not verified for Databricks · 5

GPU programmingImage editingText generationVideo editingVideo generation

Recorded for Decart. 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

Application

AI/BIApplication

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.

Genie OneApplication

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.

Infrastructure service

Unity GatewayInfrastructure 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

Databricks Model ServingModel API

A managed endpoint service for deploying and governing classical ML models, generative models and agents from one interface.

Decart

Application

Delulu (by Decart)Application

Delulu is Decart's consumer mobile app for AI photo transformation, published on iOS and Android by Decart.AI, Inc. Its store listing describes it as a way to 'Turn any photo into something fun, weird, or just really good-looking, with a single tap', browsing preset styles and creating stickers to share.

LucyApplication

Real-time video editing platform that edits and transforms live video at streaming speed, for enterprises, brands, creators and live/streaming/gaming use cases; built on Decart's DOS infrastructure.

Infrastructure service

Decart Optimization StackInfrastructure service

The Decart Optimization Stack (DOS) is Decart's inference and training optimization infrastructure, spanning hardware-aware model design, kernel tooling, proprietary compilers and inference optimization. It is sold to hardware providers and AI teams as engagements covering benchmark optimization, customer-defined kernel and compiler work, cross-workload efficiency gains, and profiler and simulator licensing, and is marketed as hardware-agnostic across GPUs, TPUs, Trainium and AMD accelerators.

Model API

CogitoModel API

Cogito is Decart's OpenAI-compatible LLM inference API, serving frontier open-weight models including Kimi K2.6, Kimi K2.7 Code, GLM-5.2, Qwen3 235B and GPT-OSS 120B across Trainium, TPU and GPU capacity. A self-serve Standard tier is billed per token, while an ultra-fast reserved tier advertises 1,000+ tokens per second. It is built on Decart's own DOS optimization stack.

Decart API PlatformModel API

Hosted API for Decart's real-time video and world models.

No counterpart

Databricks sells these in a stack layer with no product recorded for Decart yet — nothing on the other side to compare them against.

Agent platform

Agent BricksAgent platform

A control plane for building, evaluating, governing and monitoring AI agents across proprietary and open-source models, with native MCP support.

Developer tool

Databricks Model TrainingDeveloper tool

A managed service for fine-tuning open-source LLMs or training custom models on enterprise data using dedicated GPU infrastructure.

Platform

Databricks AIPlatform

Databricks' tooling for building, fine-tuning, serving and evaluating models and agents on lakehouse data.

Databricks Data + AI PlatformPlatform

Lakehouse platform for storing, governing, querying and sharing enterprise data.

Data service

Databricks AI SearchData service

A managed hybrid semantic, keyword and vector search service (formerly Mosaic AI Vector Search) with automatic data sync and Unity Catalog governance.

Decart sells these in a stack layer with no product recorded for Databricks yet — nothing on the other side to compare them against.

API service

Oasis 3API service

Interactive world model for Physical AI, generating realistic, controllable real-time simulation environments for training autonomous systems, distributed as an API/SDK product built on Decart's Optimization Stack (DOS) infrastructure.