Supernova
Supernova · Other
Supernova is an AI data platform that bundles an encrypted Iceberg lake, a query engine, and built-in frontier AI, so you can ask questions about your data without a dedicated data team.
About Supernova
What Is Supernova
Supernova is a data platform for teams that want analytics without assembling a full data stack by hand. It ships the pipeline, the lake, and the query engine in one product, then layers frontier AI models on top. You sync data from your business tools, ask plain questions, and the platform builds models and dashboards for you.
The pitch is cost, not features. Supernova charges by usage rather than per seat, so bringing in more viewers or analysts costs nothing extra. A fintech startup pays around $25 a month where its old stack ran $600, and an app developer drops from roughly $9,250 to about $2,000.
The main limit is depth. This is a young product aimed at lean teams, so it won't replace the fine-grained governance and admin tooling a large enterprise data org already runs. Data lives in an encrypted Iceberg lake, which keeps it portable, but the broader modeling and permissions layer stays simpler than mature warehouses offer.
Getting Started
- Sign up at supernova.ai and connect a first source, such as Postgres, Stripe, or HubSpot.
- Let the sync land your tables in the encrypted Iceberg lake, then check the catalog.
- Open a chat and ask a question, or describe the dashboard you want.
- Review the model or dashboard Supernova suggests and adjust the fields.
- Optionally add mcp.supernova.ai/mcp to Claude or Codex to query the same tables from your AI assistant.
Product Information
A quick look at Supernova's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Startup founders
- Product managers
- Small data teams
Tasks
- Revenue reporting
- Ad-hoc analysis
- Dashboard building
- Wiring AI assistants to real data
Scenarios
- A two-person startup tracking monthly recurring revenue
- An engineer debugging a sync
- A hardware company consolidating scattered reports
Key features
AI Built Into the Platform
Supernova ships frontier AI models inside the product, so you can ask any question of your data and get a model or dashboard back. You don't need to buy a separate AI analytics add-on or wire up your own model. The AI reads the same live schema your queries do, which keeps its answers tied to real columns.
Claude and Codex Over MCP
Add mcp.supernova.ai/mcp to Claude or Codex and your synced tables become queryable in about a minute. This matters if you already work inside an AI assistant and don't want to switch tools to check a number. The same endpoint serves every assistant that speaks MCP, so setup is one connection rather than a per-tool integration.
Encrypted Iceberg Lake
Data lands in an Iceberg lake in object storage with table-level encryption. Any engine that speaks Iceberg can read it, which keeps your data portable rather than locked to one vendor. Every column is typed, so tables carry real schemas instead of loose text.
TypeSQL
TypeSQL is schema-aware SQL that autocompletes across joins and type-checks before it runs. A typo like a misspelled column name gets caught up front with a suggested fix, so you find mistakes before they burn compute. It's aimed at people who write SQL but don't want to memorize every column.
FTL Connectors and Command Center
FTL connects the tools you already use, from Postgres and Stripe to Google Ads and Shopify, with real-time sync on the main databases. A command center tracks schema history and keeps syncs running, and custom connectors can be built on request. This is the part that replaces a pile of brittle scripts.
Time Travel and Git Version Control
Every table keeps version history, so you can look back at earlier states of your data. Dashboards and models are accessible with git, live, for both reading and writing. Teams that already version code can treat analytics the same way.
Pros and cons
Pros
- Usage-based pricing with no per-seat fees, so viewers and analysts cost nothing extra.
- Data sits in an open, encrypted Iceberg lake you can point other engines at.
- Built-in AI turns plain-language questions into models and dashboards.
- MCP support lets Claude or Codex query live tables without a separate pipeline.
- A CLI covers connector setup and change tracking from your laptop or CI.
Cons
- No free plan, so you pay from the first query and can't test at zero cost.
- Governance and admin tooling is lighter than large warehouses, which affects enterprises with strict access rules.
- TypeSQL and the AI layer are new, so coverage may fall short of mature BI tools on edge cases.
Frequently asked questions
Supernova handles data analytics without a hand-built stack. You connect sources, and it stores the data in an Iceberg lake and lets you query it or ask questions in plain language to get dashboards.
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