Export from Firestore to Microsoft SQL Server
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery Firestore plugin allows you to sync data from Firestore to any destination, including Microsoft SQL Server. It takes only minutes to get started.
Firestore
The CloudQuery Firestore plugin reads information from your Firestore database and loads it into any supported CloudQuery destinationf
Microsoft SQL Server
This plugin is in preview.
This destination plugin lets you sync data from a CloudQuery source to a Microsoft SQL Server compatible database. This includes both Microsoft SQL Server and Azure SQL Server.
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudqueryStep 2. Configure Firestore source plugin
You can find more information about the configuration in the plugin documentation
kind: source
spec:
# Source spec section
name: firestore
path: cloudquery/firestore
registry: cloudquery
version: "v3.1.9"
tables: ["*"]
destinations: ["mssql"]
spec:
# Firestore specific configuration goes hereStep 3. Configure Microsoft SQL Server destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: "mssql"
path: "cloudquery/mssql"
registry: "cloudquery"
version: "v4.5.4"
spec:
# Connection string in the format `server=localhost;user id=SA;password=yourStrongP@ssword;port=1433;database=cloudquery;`
connection_string: "${MSSQL_CONNECTION_STRING}"
# Optional parameters:
# auth_mode: ms
# schema: dbo
# batch_size: 1000 # 1K entries
# batch_size_bytes: 5242880 # 5 MiB
# batch_timeout: 20sStep 4. Run Sync
cloudquery sync firestore.yml mssql.yml