Real-time
Two-way sync
Changes in Datadog or Supabase instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Datadog to Supabase integration — real-time, two-way sync
Keep Datadog and Supabase 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Datadog and Supabase
Keep Supabase and Datadog in step: the rows in your database and the Hosts, Monitors, Logs, Events your engineering tools track stay consistent in real time, in both directions.
Supabase is where your application's durable data lives; Datadog is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Schemas, auth.users, Row Level Security Policies, JSONB Columns in Supabase with Hosts, Monitors, Logs, Events in Datadog field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Push product events captured in Supabase Postgres to marketing tools for lifecycle campaigns
- 02 Consolidate Supabase project data into a warehouse for analytics while keeping the app database as the system of record
- 03 Provision and update Datadog Monitors from a config database or Git so alert definitions stay consistent across teams and environments.
- 04 Publish deploy and pipeline Events, and submit custom Metrics, into Datadog from CI/CD or a data pipeline to enrich dashboards and correlation.
Common sync patterns
Land tool activity as queryable rows
Records and events from Datadog arrive in Supabase as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
One integration pattern instead of per-tool API code
Read and write the synced tables in Supabase and Stacksync keeps Datadog current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Datadog arrive as row changes in Supabase, and writes to Supabase propagate to Datadog within seconds, so triggers, jobs, and alerts fire without polling.
What you can sync between Datadog and Supabase
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 | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Schemas Namespaces (public and custom) that scope sync access. | Incidents is specific to Datadog and Schemas to Supabase — 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. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Service Level Objectives is specific to Datadog and auth.users to Supabase — 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. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Hosts is specific to Datadog and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| Monitors Alert definitions with query, thresholds, and current state via the v1 Monitors API, which supports full create, update, and delete; Stacksync reads alert state into a warehouse or provisions and updates monitors from a config source. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Monitors is specific to Datadog and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Logs Log events searched via the v2 Logs search endpoint by time window and submittable through the log intake API; commonly streamed to a warehouse for retention beyond Datadog's storage period. | Database Functions Postgres functions that can transform or validate synced rows. | Logs is specific to Datadog and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| 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. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Events is specific to Datadog and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between Datadog and Supabase
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 Supabase 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 Supabase as a row-level write, with types converted between the two schemas.
Supabase Datadog Sub-second propagation
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
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.
- Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with Datadog ⇄ Supabase
Connect Datadog and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Datadog–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Datadog or Supabase 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 Supabase record.
Observability
Monitoring
Track your Datadog ⇄ Supabase 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 Supabase.
How the Datadog and Supabase 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.
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect Datadog to Supabase — 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.
- 01
Connect your apps
Authenticate Datadog and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Datadog
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Datadog and Supabase 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.
objects · Datadog ⇄ SupabaseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Datadog SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Datadog and Supabase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Datadog and Supabase: authenticate both systems, choose the objects to sync (such as Datadog's Incidents and Service Level Objectives), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Supabase: PostgREST auto-generates a REST endpoint per table, with Row Level Security policies gating access at the row level. Datadog: Application keys inherit the creating user's permissions and authorization scopes; a key missing a required scope returns 403 even when the API key is valid. Stacksync's field mapping accounts for these differences between Datadog and Supabase without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Datadog and Supabase records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Datadog and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Datadog–Supabase integration in-house.
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Yes — Stacksync ships production-grade connectors for both Datadog and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Datadog: 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. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 419 integrations available for Datadog and Supabase.
Popular · 8 of 419
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Datadog ⇄ Scaleway Postgres -
Datadog ⇄ TiDB -
Datadog ⇄ TimescaleDB -
Datadog ⇄ VoltDB -
Supabase ⇄ Jms -
Supabase ⇄ Newrelic -
Supabase ⇄ Opsgenie -
Supabase ⇄ PagerDuty
No integrations match .
