Connect Firebase Realtime Database to PostgreSQL

Create the Firebase Realtime Database source, then register PostgreSQL with its host, database name, username, and password. Link both through a datastream and target the "columns" table in the job.

Build the Firebase Realtime Database schema from available records such as data sources, schemas, tables, and columns, plus the supported account and date dimensions. Preview the selected columns before the PostgreSQL job is saved.

Configure the initial Firebase Realtime Database period separately from the recurring schedule for "columns". The source API determines how much history is available.

Choose an eligible date field as the partition for Firebase Realtime Database. Catchr can then replace the matching period in "columns"; without it, later runs append rows and may create duplicates.

With Firebase Realtime Database data, a PostgreSQL query can summarize loaded rows, successful records, errors, and success rate by day. Use data sources and schemas in a PostgreSQL view to create a reusable reporting layer for client analysis.

Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.