Browse Forest's datasources

Connect Amazon Aurora as a Forest datasource. The operational graph generates on top of your live schema.

Connect Cosmos DB as a Forest datasource. Reads, writes, and workflows run on top of your Azure data without a copy.

Connect DynamoDB as a Forest datasource. Schema introspection included; reads and writes go live against your AWS stack.

Run the Forest Backend inside your ExpressJS backend. The Forest stack composes with your existing routes and services.

Connect Firebase as a Forest datasource. Records and collections expose live to operators, workflows, and AI agents.

Connect a GraphQL API as a Forest datasource. Reads, writes, and the operational graph stay in your environment.

Connect MariaDB as a Forest datasource. Reads and writes happen live against your database.

Connect SQL Server as a Forest datasource. The Forest Backend introspects your schema and exposes records and actions.

Connect MongoDB as a Forest datasource. Collections and documents expose live to operators, workflows, and AI agents.

Run the Forest Backend against your Mongoose models. The operational graph reflects your schema as it evolves.

Connect MySQL as a Forest datasource. Reads, writes, and workflows run on top of your live database.

Run the Forest Backend inside your NestJS backend. Forest plugs into the same modules your team already builds.

Run the Forest Backend as a Node.js service inside your infrastructure. Forest powers the back-office without copying your data.

Connect PostgreSQL as a Forest datasource. Reads and writes happen live; the operational graph stays in your environment.

Run the Forest Backend inside your Rails backend. Models, services, and custom logic plug into Forest workflows.

Run the Forest Backend against your Sequelize models. The operational graph reflects your schema live.