Two-way sync
Changes in Datadog or Lemlist instantly reflect in both systems. No stale data, no manual imports.
Keep Datadog and Lemlist in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Lemlist 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 Campaigns, Leads, Activities, Unsubscribes in Lemlist 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 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.
A ticket or request raised in Lemlist 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 Lemlist publish to the queue or topic in Datadog as they happen, so downstream services react to real events rather than polling for them.
People and accounts in Lemlist stay matched to the users in Datadog, so access, provisioning, and org changes propagate instead of being keyed in twice.
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 | Lemlist 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. | Webhooks Hook subscriptions define which activity events are pushed to external endpoints. | Logs is specific to Datadog and Webhooks to Lemlist — 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. | Team Members Sender and seat records map outreach activity to reps in other systems. | Events is specific to Datadog and Team Members to Lemlist — 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. | Campaigns Outreach campaigns are the container leads are pushed into from CRMs and list-building workflows. | Dashboards is specific to Datadog and Campaigns to Lemlist — 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. | Leads Per-campaign prospect records sync in from enrichment sources and back out with status. | Metrics is specific to Datadog and Leads to Lemlist — 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. | Activities Engagement records such as opens, clicks, replies, and bounces sync to CRM timelines. | Incidents is specific to Datadog and Activities to Lemlist — 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. | Unsubscribes Opt-out records propagate to other outreach tools and the CRM for compliance. | Service Level Objectives is specific to Datadog and Unsubscribes to Lemlist — 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.
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 Lemlist through its API, with automatic retries and rate-limit backoff.
DetectionLemlist notifies Stacksync of record changes through webhook events. Webhooks on outreach activity events, plus polling.
DeliveryEach detected change is written to Datadog through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Datadog–Lemlist connection.
Changes in Datadog or Lemlist instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Datadog or Lemlist data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Datadog or Lemlist record.
Track your Datadog ⇄ Lemlist sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Datadog and Lemlist.
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 Datadog and Lemlist 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 Datadog and Lemlist 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 Datadog and Lemlist: 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Datadog and Lemlist connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Datadog–Lemlist integration in-house.
Yes — Stacksync ships production-grade connectors for both Datadog and Lemlist. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Lemlist: Webhooks on outreach activity events, plus polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Lemlist side: Campaigns, Leads, Activities, Unsubscribes, plus custom fields where Lemlist exposes them. On the Datadog side: Metrics, Incidents, Service Level Objectives, Hosts. 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.
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 270 integrations available for Datadog and Lemlist.