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Bijection vs Snowflake
Snowflake is a fully managed data platform on AWS, Azure and Google Cloud, known for warehousing and for sharing data between organizations. It now runs applications too, with Streamlit in Snowflake, Native Apps and Snowflake Postgres for transactional data, and agents through Cortex and Snowflake CoWork. It holds FedRAMP High and DoD IL5 authorizations, and reports more than 13,000 customers.
The usual question is why not build operations where your data already lives. Bijection is a narrower product for that one job: a transactional database for your ontology and operations, defined in TypeScript, where each change people and agents make is approved, recorded and sent back to the systems that own the data. It sits next to your Snowflake account rather than replacing it, and it is far smaller than Snowflake.
- What it is
- BijectionA transactional database and runtime for your ontology, operations and applications.
- SnowflakeA managed data cloud for warehousing, data sharing, applications and AI, now with transactional Postgres.
- Where you start
- BijectionAn operational model: objects, operations and approval rules.
- SnowflakeYour data: tables and shares across clouds and organizations.
- How you build
- BijectionTypeScript definitions in your Git repository, written by developers or coding agents. There are no visual builders yet.
- SnowflakeSQL, Snowpark in Python, Java or Scala, Streamlit apps, and Native Apps distributed through the Snowflake Marketplace.
- Where it runs
- BijectionA dedicated single-tenant environment per customer, operated by us. Not in your cloud account or on premises today.
- SnowflakeSnowflake-managed on AWS, Azure and Google Cloud, including FedRAMP High government regions.
- Operational data
- BijectionThe ontology and its operations commit together in one transactional database, with approvals and a record of every change.
- SnowflakeSnowflake Postgres, generally available on AWS and Azure since February 2026, and hybrid tables.
- Changes to other systems
- BijectionDeclared operations. The intent is recorded before the call goes out, and an unanswered call stays unknown until it is reconciled.
- SnowflakeWritten as your own code, in procedures, apps or agents.
- AI
- BijectionModel calls are bounded steps with typed output. Agents reach data through scoped MCP endpoints and go through the same approvals as people.
- SnowflakeCortex Agents, Snowflake CoWork for knowledge workers, and an MCP server.
- Maturity
- BijectionEarly. A small team and a focused core.
- SnowflakeFounded in 2012 and public since 2020, with more than 13,000 customers.
Choose Snowflake if
- Your data is already in Snowflake and you want apps and agents to act on it without moving it.
- You share or sell data across organizations.
- You need a fully managed platform with US government authorizations.
Choose Bijection if
- You need the operational layer on top of your data: approvals, a record of every change and reliable writes back to your systems, without building it yourself.
- You would rather define the business in code, reviewed and versioned like the rest of your software, and let coding agents write most of it.
- You want a dedicated environment and a small team that builds your first process with you.
Sources
What this page says about Snowflake comes from these public pages, last read on 28 September 2026. Products change; if something here is out of date, tell us and we will correct it.