Export from Datadog 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 Datadog plugin allows you to sync data from Datadog to any destination, including Microsoft SQL Server. It takes only minutes to get started.
Datadog
The CloudQuery Datadog plugin extracts your Datadog information and loads it into any supported CloudQuery destination
cloudquery
v4.3.7
Source
Mar 26, 2024
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.
cloudquery
v4.5.0
Destination
Mar 26, 2024
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudquery
Step 2. Configure Datadog source plugin
You can find more information about the configuration in the plugin documentation
kind: source
spec:
# Source spec section
name: "datadog"
path: "cloudquery/datadog"
registry: "cloudquery"
version: "v4.3.7"
tables: ["*"]
destinations: ["mssql"]
spec:
# required
accounts:
- # required
name: example_account
# required
api_key: ${DATADOG_EXAMPLE_ACCOUNT_API_KEY}
# required
app_key: ${DATADOG_EXAMPLE_ACCOUNT_APP_KEY}
# Optional parameters
# site: datadoghq.eu
Step 3. Configure Microsoft SQL Server destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: "mssql"
path: "cloudquery/mssql"
registry: "cloudquery"
version: "v4.5.0"
spec:
# Connection string in the format `server=localhost;user id=SA;password=yourStrongP@ssword;port=1433;database=cloudquery;`
connection_string: "${MSSQL_CONNECTION_STRING}"
# Optional parameters:
# auth_mode: ms
# schema: dbo
# batch_size: 1000 # 1K entries
# batch_size_bytes: 5242880 # 5 MiB
# batch_timeout: 20s
Step 4. Run Sync
cloudquery sync datadog.yml mssql.yml