Supernova
Sync your company's tools into one encrypted data lake and query all of it in plain language through Claude or Codex, no data warehouse or data team required.
The verdict on Supernova: Giving Claude or Codex direct, natural-language access to a company's real business data Supernova's pitch works best for the team that has no data analyst and no appetite to hire one: sync the tools you already run, point Claude or Codex at one endpoint, and ask questions in plain language instead of waiting for someone to write a query. Pricing: Usage-based, no seat fees: $0.15/GB-hour compute, $0.05/GB-month storage, $0.40 per million reads, $5 per million writes. Last reviewed: August 2026.
Best For
Giving Claude or Codex direct, natural-language access to a company's real business data
Standout Feature
One MCP endpoint puts every synced tool's data in front of Claude and Codex without a separate warehouse
Verdict
A genuinely useful shortcut for small teams who want AI-native answers from real business data without building a data stack first.
Alternatives
Overview
Supernova gives Claude and Codex direct, queryable access to a company's actual data, HubSpot, Postgres, Stripe, and other connected tools, without anyone standing up a separate data warehouse first. Connected sources sync into a single encrypted Apache Iceberg data lake that Supernova's Rust-based engine serves through one MCP endpoint; point Claude or Codex at mcp.supernova.ai/mcp and every synced table becomes something you can ask a plain-language question about within roughly a minute. For teams without a dedicated data function, that means asking which customers churned last quarter and why pulls a real answer from live tables instead of waiting on a data analyst.
TypeSQL adds schema-aware SQL that autocompletes and type-checks across joins before a query runs, and every table keeps full version history so you can see what the numbers looked like before a pricing or schema change. Because the lake is stored in the open Iceberg format, any tool that already speaks Iceberg can read it directly with zero-copy connections, so adopting Supernova doesn't mean getting locked into it. Pricing is metered by actual compute, storage, and read and write volume, with no per-seat charge.
Our Take
Supernova's pitch works best for the team that has no data analyst and no appetite to hire one: sync the tools you already run, point Claude or Codex at one endpoint, and ask questions in plain language instead of waiting for someone to write a query. The open Iceberg format and zero-copy reads mean you're not locked in if you outgrow it later, a fair trade for a usage-based platform this new. The tradeoff is that Supernova is infrastructure, not a finished dashboard, so a non-technical team still needs someone comfortable connecting sources and watching the pricing meter before this becomes a monthly habit.
Key Features
- Encrypted Apache Iceberg data lake
- MCP endpoint for Claude and Codex
- Schema-aware TypeSQL with autocomplete
- Zero-copy reads for existing warehouses
- Full table version history (time travel)
- Single-binary CLI for sync, query, and setup
- • No separate data warehouse or ETL pipeline needed
- • Open Iceberg format avoids vendor lock-in
- • Usage-based pricing with no per-seat cost
- • Built for teams comfortable connecting data sources, not a point-and-click BI tool
- • Usage-based pricing needs monitoring to avoid surprise bills at scale
- • Recently rebranded from Canvas, so the track record under the new name is still short
People Also Use
Other Developer Tools tools builders reach for alongside Supernova.
Hugging Face
Host, share, and download open models, datasets, and demo apps, model discovery and deployment in a few clicks instead of a research project.
Dialogflow
Build rule-based or generative conversational agents for chat and voice that plug into Google Cloud's NLU and generative AI stack, billed per request or session. Increasingly marketed as Conversational Agents.
LangChain
Assemble LLM-powered apps and agents from composable building blocks, with LangSmith adding tracing, evaluation, and deployment. Platform rebranded. LangGraph Platform is now LangSmith Deployment.
Ollama
Run open-weight language models directly on your own machine with a single command, or shift to hosted GPUs via Ollama Cloud when local hardware isn't enough.
LlamaIndex
Connect your own data to LLMs for retrieval-augmented generation. LlamaParse (formerly LlamaCloud) automates document parsing, extraction, and indexing for agentic workflows.
Pinecone
Store and query embeddings for search, recommendations, and AI agents on a fully managed vector database, without operating any infrastructure.