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Datadog to Quip integration — real-time, two-way sync

Keep Datadog and Quip 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 Quip

Connect the tickets, records, and events in Quip to the systems engineering runs in Datadog, kept current in real time and in both directions.

Quip 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 Messages, Users, Blobs, Documents in Quip 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.

Common use cases

  • 01 Post a new_message into a linked Quip thread when a record changes in a CRM or ticketing system, notifying the account team where they plan.
  • 02 Mirror Documents and Spreadsheets into Postgres or a warehouse, keyed on thread ID and refreshed when updated_usec advances, for search and reporting on account plans and notes.
  • 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

One shared record across both systems

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.

Where Datadog tracks engineering work: requests become issues

A ticket or request raised in Quip 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.

Where Datadog moves messages between services: activity lands on the stream

Records created or changed in Quip publish to the queue or topic in Datadog as they happen, so downstream services react to real events rather than polling for them.

What you can sync between Datadog and Quip

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 Quip 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. Folders Private, Shared, and Group containers that organize threads; membership is added or removed via the folders endpoints for access control. Incidents is specific to Datadog and Folders to Quip — 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. Messages Comments and chat posts on a thread; the most recent are read with get_messages and new ones written with new_message. Service Level Objectives is specific to Datadog and Messages to Quip — 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. Users Member records read individually or via contacts; get_authenticated_user identifies the token owner. Used read-only for directory-style syncs. Hosts is specific to Datadog and Users to Quip — 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. Blobs Images and file attachments stored per thread; downloaded with get_blob and uploaded with put_blob against a specific thread ID. Monitors is specific to Datadog and Blobs to Quip — 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. Documents Editable rich-text threads addressed by ID; created and updated over REST via HTML or Markdown sections, with an updated_usec timestamp used to detect edits. Logs is specific to Datadog and Documents to Quip — 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. Spreadsheets Live-spreadsheet threads; rows and cells are read and written through add_to_spreadsheet and update_spreadsheet_row helpers on the same thread endpoints. Events is specific to Datadog and Spreadsheets to Quip — each maps to any object or custom field on the other side.

How changes propagate between Datadog and Quip

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 Quip 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 written to Quip through its API, with automatic retries and rate-limit backoff.

Quip Datadog Interval-based propagation

DetectionStacksync polls Quip for changes on an incremental schedule, reading only records changed since the previous pass. Polling on thread updated_usec timestamps — get_recent_threads paginates by max_updated_usec.

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.
  • Quip: Automation API allows roughly 50 requests per minute per access token; exceeding it returns HTTP 503, and responses carry X-RateLimit headers.
What ships with Datadog ⇄ Quip

Connect Datadog and Quip for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Datadog–Quip connection.

Real-time

Two-way sync

Changes in Datadog or Quip instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Datadog or Quip 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 Quip record.

Observability

Monitoring

Track your Datadog ⇄ Quip 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 Quip.

How the Datadog and Quip 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.

Quip

Integration surface
REST (v1 Automation API)
Authentication
OAuth 2.0 bearer tokens (RFC 6749/6750) or a Personal Access Token; domain admins can pre-approve apps for domain-wide authentication
Change detection
Polling on thread updated_usec timestamps — get_recent_threads paginates by max_updated_usec; there is no change-data-capture and no outbound change webhook
Capabilities
read · write
Rate limits
Automation API allows roughly 50 requests per minute per access token; exceeding it returns HTTP 503, and responses carry X-RateLimit headers
How it works

How to connect Datadog to Quip — 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.

  1. 01

    Connect your apps

    Authenticate Datadog and Quip with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Datadog connected
    Quip connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Datadog and Quip 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Datadog ⇄ Quip
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Datadog Quip
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Datadog and Quip integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 390 integrations available for Datadog and Quip.

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