Two-way sync
Changes in Braze or Datadog instantly reflect in both systems. No stale data, no manual imports.
Keep Braze and Datadog in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Braze is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Datadog is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Purchases, Segments, Campaigns, Canvases in Braze 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 maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
A ticket or request raised in Braze opens or updates a matching issue in Datadog, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Records created or changed in Braze publish to the queue or topic in Datadog as they happen, so downstream services react to real events rather than polling for them.
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.
| Braze objects | Datadog objects | How this pairing syncs | |
|---|---|---|---|
| Content Blocks Reusable message content referenced across campaigns. | 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. | Content Blocks is specific to Braze and Logs to Datadog — each maps to any object or custom field on the other side. | |
| Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. | 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. | Users is specific to Braze and Events to Datadog — each maps to any object or custom field on the other side. | |
| Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. | 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. | Custom Attributes is specific to Braze and Dashboards to Datadog — each maps to any object or custom field on the other side. | |
| Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | 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. | Custom Events is specific to Braze and Metrics to Datadog — each maps to any object or custom field on the other side. | |
| Purchases Transaction records logged against profiles for revenue-based targeting. | 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. | Purchases is specific to Braze and Incidents to Datadog — each maps to any object or custom field on the other side. | |
| Segments Audience definitions read for membership export and campaign targeting. | 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. | Segments is specific to Braze and Service Level Objectives to Datadog — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.
DeliveryEach detected change is written to Datadog through its API, with automatic retries and rate-limit backoff.
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 written to Braze through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Datadog connection.
Changes in Braze or Datadog instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Braze or Datadog data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Braze or Datadog record.
Track your Braze ⇄ Datadog sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Braze and Datadog.
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.
Authenticate Braze and Datadog with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Braze and Datadog 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Braze and Datadog: authenticate both systems, choose the objects to sync (such as Braze's Content Blocks and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Braze side: Purchases, Segments, Campaigns, Canvases, plus custom fields where Braze exposes them. On the Datadog side: Hosts, Monitors, Logs, Events. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Braze and Datadog: One shared record across both systems; Where Datadog tracks engineering work: requests become issues; Where Datadog moves messages between services: activity lands on the stream. Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
Braze: REST API. Authentication: REST API keys scoped to specific endpoints, issued per workspace. Datadog: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 378 integrations available for Braze and Datadog.