- Source
- Engineering Analytics
- Alpha
Move Datadog data anywhere it matters.
Load Datadog auditlogs, dashboards and downtimes into the warehouse or AI app you already run.
Source
Datadog
Snowflake
BigQuery
Postgres
Databricks
Claude
- Streams
- 12
- Destinations
- 50+
- Standard support
- 2.0.24
Overview
What is the Airbyte Datadog connector?
The Airbyte Datadog connector extracts data from Datadog and loads it into 50+ destinations such as Snowflake, BigQuery, Databricks or Postgres, with full refresh and incremental sync. It publishes 12 streams you can select per connection.
- 01
Sync to your warehouse
Land 12 Datadog tables in 50+ destinations on a schedule you control.
- 02
Incremental syncs
Pull only the records that changed since the last run instead of reloading everything.
- 03
One authorization
Authenticate Datadog once and Airbyte keeps every scheduled sync running on it.
- 04
Cloud or self-hosted
Run the Datadog connector on Cloud, OSS, Hybrid.
12 streams
Every table you can sync from Datadog
AuditLogs Sync modes FullIncr. Dashboards Sync modes FullIncr. Downtimes Sync modes FullIncr. IncidentTeams Sync modes FullIncr. Incidents Sync modes FullIncr. Logs Sync modes FullIncr.
Setup
Live in eleven steps
First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
Click on the "New Source" button in the top right corner of the screen.
Select "Datadog" from the list of available sources.4. Enter a name for your Datadog source connector and click "Next".
Enter your Datadog API key and application key in the appropriate fields.
Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Datadog account.
Once the connection is successful, click "Create" to save your Datadog source connector.
You can now use your Datadog source connector to create a new Airbyte pipeline or add it to an existing one.
To create a new pipeline, click on "Pipelines" in the left-hand menu and then click "New Pipeline".
Select your Datadog source connector as the source and choose your destination connector.
Follow the prompts to configure your pipeline and start syncing data between Datadog and your destination.
Configuration fields
| Field | Type | Description |
|---|---|---|
| api_key* | string | Datadog API key |
| application_key* | string | Datadog application key |
| end_date | string | UTC date and time in the format 2017-01-25T00:00:00Z. Data after this date will not be replicated. An empty value will represent the current datetime for each execution. This just applies to Incremental syncs. |
| max_records_per_request | integer | Maximum number of records to collect per request. |
| queries | array | List of queries to be run and used as inputs. |
| query | string | The search query. This just applies to Incremental syncs. If empty, it'll collect all logs. |
| site | string | The site where Datadog data resides in. |
| start_date | string | UTC date and time in the format 2017-01-25T00:00:00Z. Any data before this date will not be replicated. This just applies to Incremental syncs. |
Hybrid deployment
Sovereign by architecture, not by policy.
The data plane runs in your environment. Records, credentials and keys stay with you; the control plane only receives configuration and job metadata.
- Cloud
- OSS
- Hybrid
Your environment
Airbyte control plane
Related connectors
FAQ
Datadog connector questions
What data can I sync from Datadog with Airbyte?
12 streams: AuditLogs, Dashboards, Downtimes, IncidentTeams, Incidents, Logs, Metrics, Monitors, ServiceLevelObjectives, SyntheticTests, Users, Series.
Does the Datadog connector support incremental sync?
Yes. The Datadog connector supports incremental sync on selected streams, and full refresh on every stream.
Where can I run the Datadog connector?
Run the Datadog connector on Cloud, OSS, Hybrid. Hybrid deployments keep the data plane in your environment while the control plane orchestrates syncs.
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