Fluree AI vs Supernova: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Fluree AI and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Fluree AI

Fluree

Freemium

Enterprise knowledge graph platform that makes structured and unstructured data AI-ready for GraphRAG and agents.

Verifiable Knowledge Graph: FlureeDB stores entities and relationships with cryptographic verifiability to every fact
AI-Ready Data Foundation: Golden records, entity resolution, semantic layer, and taxonomy governance to prep any data
GraphRAG Activation: Ground LLM retrieval on the graph for up to 95% answer accuracy in benchmarks
Fluree Memory: Long-term, governed memory store for AI agents across sessions
Fluree MCP: Plug your governed knowledge graph into any MCP-capable agent or IDE
AI Agent Governance: Policy and audit controls for how agents access and modify enterprise data
Conversational Analytics: Natural-language interface over the enterprise semantic layer
Open-Source Core: FlureeDB is free to start and open source

Build a governed enterprise knowledge graph that AI agents can query verifiably
Deploy GraphRAG on top of internal data to raise LLM answer accuracy
Give AI agents persistent, policy-governed long-term memory across tools
Expose enterprise data to any MCP client (Claude, Cursor, IDEs) with role-based governance
Consolidate customer or product records via entity resolution before feeding an LLM
Run enterprise AI search grounded in structured relationships instead of raw text chunks
Estimate and control AI agent TCO across the organization

Paid

An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.

MCP Endpoint for Claude and Codex: Point any MCP-speaking assistant at mcp.supernova.ai/mcp and every synced table becomes queryable in natural language.
Encrypted Iceberg Lake: Open Apache Iceberg tables in object storage with table-level encryption, so the data stays in a portable open format you control.
Zero-Copy Connections: Any engine that speaks Iceberg can read the lake directly, avoiding a second copy of your warehouse.
Time Travel: Every table retains version history, so you can query the state of your data as of any earlier point.
Built-In Frontier Models: Ask a question or describe a dashboard in plain language and Supernova generates the models and visualisations without a data team.
TypeSQL: Schema-aware SQL that autocompletes across joins and type-checks before execution, catching errors the way a typed language would.
Single-Binary CLI: One command-line tool connects sources, runs queries, tails live table changes and registers the MCP endpoint with Claude Desktop, from a laptop or CI.
Git-Backed Dashboards: Models and dashboards are readable and writable through Git, putting analytics artefacts under normal version control.

Conversational Revenue Analysis: Ask Claude which customers churned last quarter and why, with the answer computed over live Stripe and HubSpot tables.
Warehouse Cost Reduction: Replace a multi-vendor pipeline-plus-warehouse stack with one usage-billed platform, which the vendor illustrates as $5,640/mo dropping to $540/mo for a hardware company.
Dashboards Without a Data Team: Describe the dashboard you want in a sentence and have the models and charts generated for you.
AI-Native Data Access Layer: Give internal agents a governed, encrypted single endpoint for company data instead of per-tool API integrations.
Auditing Historical State: Use table version history to reconstruct what the numbers looked like before a pricing or schema change.
CI-Driven Data Workflows: Drive connections, queries and change tailing from pipelines using the single CLI binary.