Two-way sync
Changes in Datadog or Twilio instantly reflect in both systems. No stale data, no manual imports.
Keep Datadog and Twilio in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Twilio 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 Calls, Incoming Phone Numbers, Outgoing Caller IDs, Accounts in Twilio 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.
Open items, throughput, and error counts from Twilio replicate into Datadog, so the operational view reflects what is actually happening in the business.
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 Twilio 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.
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 | Twilio 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. | Messages SMS, MMS, and WhatsApp messages with delivery status; synced to log outreach in CRMs and databases. | Incidents is specific to Datadog and Messages to Twilio — 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. | Messaging Services Synced with incremental and full sync per the Stacksync docs. | Service Level Objectives is specific to Datadog and Messaging Services to Twilio — 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. | Calls Voice call records with duration and outcome, commonly mirrored to support and sales systems. | Hosts is specific to Datadog and Calls to Twilio — 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. | Incoming Phone Numbers Synced with incremental and full sync per the Stacksync docs. | Monitors is specific to Datadog and Incoming Phone Numbers to Twilio — 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. | Outgoing Caller IDs Synced with incremental and full sync per the Stacksync docs. | Logs is specific to Datadog and Outgoing Caller IDs to Twilio — 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. | Accounts Synced with incremental and full sync per the Stacksync docs. | Events is specific to Datadog and Accounts to Twilio — 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 Twilio through its API, with automatic retries and rate-limit backoff.
DetectionTwilio notifies Stacksync of record changes through webhook events. Status callback webhooks per message and call, plus polling of resource lists for backfill.
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–Twilio connection.
Changes in Datadog or Twilio instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Datadog or Twilio 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 Twilio record.
Track your Datadog ⇄ Twilio sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Datadog and Twilio.
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 Twilio 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 Twilio 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 Twilio: 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.
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 Twilio: Status callback webhooks per message and call, plus polling of resource lists for backfill. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Twilio side: Calls, Incoming Phone Numbers, Outgoing Caller IDs, Accounts, plus custom fields where Twilio 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 Datadog and Twilio: Where Datadog watches operations: live volumes for visibility; One shared record across both systems; Where Datadog tracks engineering work: requests become issues. Open items, throughput, and error counts from Twilio replicate into Datadog, so the operational view reflects what is actually happening in the business.
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. Twilio: REST API (per-product APIs for Messaging, Voice, Conversations, Verify). Authentication: Account SID + Auth Token (copied from Twilio Console Account Info and entered into the Stacksync Twilio connector). 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.
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Every pair below is a real-time, two-way sync. Search all 332 integrations available for Datadog and Twilio.