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Datadog to Tinybird integration — real-time, two-way sync

Keep Datadog and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Datadog and Tinybird

Close the gap between analytics and operations: Tinybird holds the record while Datadog runs the day-to-day work, and Stacksync keeps the two in step in real time, in both directions.

Tinybird is the central store where teams keep Pipes, API Endpoints, Materialized Views, Workspaces for reporting and analysis; Datadog runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Logs, Events, Dashboards, Metrics produced in Datadog are exactly what analysts want to measure in Tinybird, and the curated rows in Tinybird are what should drive the next action in Datadog. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.

Stacksync syncs Pipes, API Endpoints, Materialized Views, Workspaces in Tinybird with Logs, Events, Dashboards, Metrics in Datadog field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.

Common use cases

  • 01 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
  • 02 Sync order events from an ERP into Tinybird to serve low-latency operational analytics endpoints.
  • 03 Load Events and Incidents into a warehouse to correlate deploys, alerts, and outages on one timeline for post-incident review.
  • 04 Pull the Hosts inventory into a CMDB or database for asset tracking, tag hygiene, and cost allocation across teams.

Common sync patterns

Backfill history, then stay live

Load the existing set of Logs, Events, Dashboards, Metrics into Tinybird once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.

No batch jobs to babysit

New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.

One shared record, kept consistent

Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.

What you can sync between Datadog and Tinybird

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Datadog objects Tinybird objects How this pairing syncs
Events The event stream (deploys, alerts, comments) searched via the v2 Events endpoint and posted via POST /api/v1/events; used to correlate deploy and incident timelines or to publish deploy and pipeline events into Datadog. Tokens Scoped credentials that control read and append rights per resource. Events is specific to Datadog and Tokens to Tinybird — each maps to any object or custom field on the other side.
Dashboards Dashboard definitions and widgets via the v1 Dashboards API with full CRUD; exported for backup and audit, or created and updated programmatically from a source of truth. Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. Dashboards is specific to Datadog and Data Sources to Tinybird — each maps to any object or custom field on the other side.
Metrics Time-series metrics queried in aggregate windows through the query API and submitted via POST /api/v1/series; individual raw points cannot be extracted beyond retention. Pipes Chained SQL nodes that transform Data Sources into query-ready results. Metrics is specific to Datadog and Pipes to Tinybird — each maps to any object or custom field on the other side.
Incidents Incident records from the v2 Incidents API with full CRUD, including status and timeline fields; landed in a database for MTTR reporting or created and updated from an external incident workflow. API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. Incidents is specific to Datadog and API Endpoints to Tinybird — each maps to any object or custom field on the other side.
Service Level Objectives SLO definitions and status history via the v1 SLO API with full CRUD; read out for reliability and error-budget reporting, or provisioned and updated from a reliability config. Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. Service Level Objectives is specific to Datadog and Materialized Views to Tinybird — each maps to any object or custom field on the other side.
Hosts Infrastructure host inventory with tags and metadata from the v1 host list API; loaded into a CMDB or warehouse for asset tracking, and hosts can be muted or unmuted via the API. Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. Hosts is specific to Datadog and Workspaces to Tinybird — each maps to any object or custom field on the other side.

How changes propagate between Datadog and Tinybird

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Datadog Tinybird Sub-second propagation

DetectionDatadog notifies Stacksync of record changes through webhook events. Polling with time-windowed search queries on Logs and Events (timestamp cursor).

DeliveryEach detected change is applied to Tinybird as a row-level write, with types converted between the two schemas.

Tinybird Datadog Interval-based propagation

DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.

DeliveryEach detected change is written to Datadog through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Datadog: Per-endpoint limits return HTTP 429 with X-RateLimit-Limit/-Remaining/-Period/-Reset headers. Log ingestion and metric submission are not rate limited; search endpoints such as Logs and Events queries carry quotas that Datadog Support can raise.
  • Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with Datadog ⇄ Tinybird

Connect Datadog and Tinybird for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Datadog–Tinybird connection.

Real-time

Two-way sync

Changes in Datadog or Tinybird instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Datadog or Tinybird data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Datadog or Tinybird record.

Observability

Monitoring

Track your Datadog ⇄ Tinybird sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Datadog and Tinybird.

How the Datadog and Tinybird connectors work

Datadog

Integration surface
REST API (v1 and v2)
Authentication
API key (DD-API-KEY) plus an Application key (DD-APPLICATION-KEY) sent as request headers; application keys are tied to the creating user and inherit that user's permissions and authorization scopes.
Change detection
Polling with time-windowed search queries on Logs and Events (timestamp cursor); monitor alerts can also push via the Webhooks notification integration. No modified-date CDC on mutable objects.
Capabilities
read · write · webhooks
Rate limits
Per-endpoint limits return HTTP 429 with X-RateLimit-Limit/-Remaining/-Period/-Reset headers. Log ingestion and metric submission are not rate limited; search endpoints such as Logs and Events queries carry quotas that Datadog Support can raise.

Tinybird

Integration surface
REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
Authentication
Scoped auth tokens
Change detection
Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
Capabilities
read · write
Rate limits
Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works

How to connect Datadog to Tinybird — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Datadog and Tinybird with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Datadog connected
    Tinybird connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Datadog and Tinybird objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Datadog ⇄ Tinybird
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Datadog Tinybird
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Datadog and Tinybird integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 310 integrations available for Datadog and Tinybird.

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