Real-time
Two-way sync
Changes in Datadog or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Datadog to Scaleway Postgres integration — real-time, two-way sync
Keep Datadog and Scaleway Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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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 Scaleway Postgres
Keep Scaleway Postgres and Datadog in step: the rows in your database and the Metrics, Incidents, Service Level Objectives, Hosts your engineering tools track stay consistent in real time, in both directions.
Scaleway Postgres 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, Sequences, Columns, Tables in Scaleway Postgres with Metrics, Incidents, Service Level Objectives, Hosts 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 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
- 02 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
- 03 Publish deploy and pipeline Events, and submit custom Metrics, into Datadog from CI/CD or a data pipeline to enrich dashboards and correlation.
- 04 Load Events and Incidents into a warehouse to correlate deploys, alerts, and outages on one timeline for post-incident review.
Common sync patterns
React to changes on either side in near real time
Updates in Datadog arrive as row changes in Scaleway Postgres, and writes to Scaleway Postgres propagate to Datadog within seconds, so triggers, jobs, and alerts fire without polling.
Where Datadog manages users or groups: keep identity aligned
Directory and identity records in Datadog stay matched to the users or owners table in Scaleway Postgres, so provisioning and de-provisioning flow from one source.
Turn rows into the records your tools track
A new or changed row in Scaleway Postgres creates or updates the matching record in Datadog, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
What you can sync between Datadog and Scaleway Postgres
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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Logs is specific to Datadog and Sequences to Scaleway Postgres — 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. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Events is specific to Datadog and Columns to Scaleway Postgres — 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. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Dashboards is specific to Datadog and Tables to Scaleway Postgres — 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. | Views Read-only sources for shaping data before it leaves the database. | Metrics is specific to Datadog and Views to Scaleway Postgres — 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. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Incidents is specific to Datadog and Materialized views to Scaleway Postgres — 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. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Service Level Objectives is specific to Datadog and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Datadog and Scaleway Postgres
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 Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Datadog Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
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.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Datadog ⇄ Scaleway Postgres
Connect Datadog and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Datadog–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Datadog or Scaleway Postgres 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 Scaleway Postgres record.
Observability
Monitoring
Track your Datadog ⇄ Scaleway Postgres 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 Scaleway Postgres.
How the Datadog and Scaleway Postgres 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.
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Datadog to Scaleway Postgres — 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 Scaleway Postgres 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
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Datadog and Scaleway Postgres 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 ⇄ Scaleway PostgresCustomers 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 Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Datadog and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Datadog and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Datadog's Logs and Events), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Scaleway Postgres 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 Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Datadog–Scaleway Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Datadog and Scaleway Postgres. 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 Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Scaleway Postgres side: Schemas, Sequences, Columns, Tables, plus custom fields where Scaleway Postgres exposes them. On the Datadog side: Metrics, Incidents, Service Level Objectives, Hosts. Stacksync auto-detects both schemas and converts types between the two systems.
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 322 integrations available for Datadog and Scaleway Postgres.
Popular · 6 of 322
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Datadog ⇄ DuckDB -
Datadog ⇄ Elasticsearch -
Datadog ⇄ Google Cloud Spanner - Datadog ⇄ Google Cloud SQL
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Scaleway Postgres ⇄ Azure Service Bus -
Scaleway Postgres ⇄ Ldap
No integrations match .
