One access layer over all your data

Monospace connects to the databases and systems you already run, reads their structures, and presents them as one clean API. Your data stays where it is, and every read and write passes through Monospace to the source system. This means no copies to keep in sync, and no staging layer between your applications and the data they use.

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Connect your data sources, get an API

Database introspection

Point Monospace at a data source and it reads the schema. Your tables become collections you manage in Monospace, with their fields and relations already mapped. Refresh introspection to pick up new schema changes.

Data federation across sources

The same identifier usually exists in several systems, and no database can express that. Monospace lets you define cross-system relationships, so a customer ID in PostgreSQL joins to the same customer in Salesforce, resolved at query time.

No data movement

No ETL, no replication. Your data stays in its system of record, with no copies to secure or keep in sync.

Real-time queries

Query all your live data instantly, across data sources. Queries run against the source system when they're made, not against a snapshot of the data. What the database has, your API returns.

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What is data federation?

Data federation in Monospace establishes a single access layer for using data that lives in many systems. Source data stays where it is. Monospace connects to it, reads its schema, and represents it as collections in a single governed API, so applications and agents can read and write across systems in real time.

Because everything shares one model, relationships can cross systems. A customer in one database can relate to their invoices in another, and a single query resolves both against their sources at request time.

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How it works

Connect your data source

Add a new data source in Studio. Choose your connector type and enter the connection details. You can connect multiple sources to a single workspace, and the same source can also be connected to multiple workspaces.

Monospace introspects the schema

Your tables are mapped to collections that can then be managed in Monospace automatically, with fields and relations already mapped. From there you can evolve the schema in Monospace, or keep managing it in your existing migration tooling and re-introspect to pick up the changes.

Relate fields across sources

Define how collections are connected. Relations work across data sources, so a single query can join data that lives in different systems.

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Build on your data

Connecting a source gives you three ways to use it straight away: a governed REST API, a typed SDK, and the workspace's MCP endpoint.

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What connecting a source gives you

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Monospace data connectors

Data connectors enable Monospace to connect to external data sources. Connectors cover various database types, REST APIs, and third-party SaaS systems. Connect more data sources and immediately open up new revenue streams and use cases.

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Common scenarios

A customer-facing app that needs orders from one database and account data from another
A legacy system that nobody wants to migrate but everything needs to read
A support agent that can read customer orders and tickets, but not payment details

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Connect a data source and start building

Bring a data source and we’ll set it up with you, so your teams can start building.

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