Skip to content
Sign in Submit your app

Cognee vs datatomcp

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Cognee compared with datatomcp
Detail Cogneedatatomcp logo datatomcp
What it doesOpen-source memory platform for AI agents CSV and Google Sheets MCP server and REST API for AI agents
StageNot given Not given
FoundedNot given Not given
Based inDE NL
Pricing modelNot given Not given
PricingFree: $0/month with 1M tokens and 1 workspace (no card required). Standard: $1.00 per 1M tokens plus $5 per additional workspace. Enterprise: contact for pricing with bring-your-own-cloud deployment. Open-source engine available free to self-host. Free: €0, 3 datasets, 100,000 rows per dataset, 1,000 queries per day, 2 people. Pro: €12/month or $12/month, 25 datasets, 2,000,000 rows per dataset, 50,000 queries per day, 5 people per workspace. Business: Custom pricing.
Key features
  • Unified vector search, knowledge graphs, and relational storage
  • Automatic knowledge graph generation from data sources
  • Multi-tenant support with isolated workspaces
  • Data source integrations (Slack, Notion, Google Drive, GitHub, etc.)
  • Self-improving memory that learns from use
  • Multiple deployment options (cloud, self-hosted, air-gapped)
  • Agent framework integrations (LangGraph, CrewAI, OpenAI SDK, MCP)
  • Support for multiple vector and graph databases
  • GDPR compliance and encryption at rest and in transit
  • Built-in graph visualization of company brain
  • Automatic dataset linking by shared IDs and codes
  • Supports MCP protocol for Claude, ChatGPT, and Cursor
  • REST API for apps and automations
  • Automatic version tracking on data changes
  • Team collaboration with role-based access
  • Messy file import with validation reports
  • EU data hosting with no AI provider access
  • Activity logs showing data changes and queries
What makes it different
  • Combines vectors with graph relationships and generated data models for connected context retrieval
  • State of the art performance on BEAM benchmark (79% vs 73.4% at 100k tokens)
  • Keeps memory costs flat as data grows compared to baseline LLM approaches
  • Fully open-source with no database lock-in
  • Updates memory as source data changes, not just static snapshots
  • Query results use 475 times fewer tokens than pasting entire sheets
  • Exact totals computed by database instead of estimated by AI
  • Read-only by design prevents agents from modifying data
  • Hosted in EU with automatic backups and 14-day retention
  • One MCP URL works across multiple AI agent platforms
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)70 no change since last check3 no change since last check
Trust Flow (Majestic)140
Citation Flow (Majestic)4323
Referring domains (Majestic)108912

5 details filled in for both companies.

More alternatives to Cognee More alternatives to datatomcp

Get help