PostgreSQL
The PostgreSQL connection lets FunnelStory run read-only SQL against your database to power data models (for example accounts, users, subscriptions, and warehouse-backed metrics). Use it when your source of truth already lives in Postgres or when you expose reporting views for FunnelStory to query.
MySQL
The MySQL connection lets FunnelStory run read-only SQL against your MySQL database to power data models—accounts, users, billing tables, or any view you maintain for analytics.
MS SQL Server
The Microsoft SQL Server connection lets FunnelStory run read-only queries against SQL Server (or Azure SQL where supported) to back data models such as accounts, contracts, and usage summaries.
Snowflake
The Snowflake connection lets FunnelStory query your warehouse with read-only access so you can build data models on curated tables and views—common for ARR, account dimensions, and historical metrics.
BigQuery
The BigQuery connection uses a Google service account so FunnelStory can run read-only jobs against your datasets and drive data models from BigQuery tables and views.
Databricks
The Databricks connection lets FunnelStory run SQL against Databricks SQL warehouses (or SQL endpoints) so data models can read from Unity Catalog–backed tables and views your team already curates.
Amazon Redshift
The Amazon Redshift connection lets FunnelStory query your Redshift cluster or Serverless workgroup with read-only SQL to power data models—often used for warehouse-native account and revenue facts.
Amazon Athena
The Amazon Athena connection lets FunnelStory run queries in your AWS account against data in S3 via Athena, so data models can use curated tables in the AWS Glue Data Catalog (or supported catalogs).
MongoDB
The MongoDB connection lets FunnelStory read documents from your MongoDB databases to power data models. Queries use FunnelStory’s MQL block format in the model query step (JSON describing database, collection, filter, and limits)—not ad hoc SQL against Mongo.