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Database ⇄ Business productivity

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

Keep Citus 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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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Citus and Quip

Mirror Quip's data into Citus so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Quip through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Citus.

Stacksync mirrors Blobs, Documents, Spreadsheets, Folders from Quip into Sequences, Distributed tables, Reference tables, Local tables in Citus and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Quip, so the tool and the database never disagree.

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 Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
  • 04 Consolidate per-tenant rows from distributed tables into per-customer reporting databases.

Common sync patterns

Automate Quip from your codebase

Write to the synced tables in Citus and Stacksync propagates the change into Quip, replacing custom integration code.

React to changes as they happen

Updates in Quip arrive as row changes in Citus, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Citus 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.

Citus objects Quip objects How this pairing syncs
Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. 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. Local tables is specific to Citus and Spreadsheets to Quip — each maps to any object or custom field on the other side.
Schemas Standard Postgres namespaces used to scope what a sync user can read and write. Folders Private, Shared, and Group containers that organize threads; membership is added or removed via the folders endpoints for access control. Schemas is specific to Citus and Folders to Quip — each maps to any object or custom field on the other side.
Views Curated projections over distributed data, often used as read-only sync sources. Messages Comments and chat posts on a thread; the most recent are read with get_messages and new ones written with new_message. Views is specific to Citus and Messages to Quip — each maps to any object or custom field on the other side.
Sequences Key generators that matter when external writes must not collide with application inserts. Users Member records read individually or via contacts; get_authenticated_user identifies the token owner. Used read-only for directory-style syncs. Sequences is specific to Citus and Users to Quip — each maps to any object or custom field on the other side.
Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. Blobs Images and file attachments stored per thread; downloaded with get_blob and uploaded with put_blob against a specific thread ID. Distributed tables is specific to Citus and Blobs to Quip — each maps to any object or custom field on the other side.
Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. 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. Reference tables is specific to Citus and Documents to Quip — each maps to any object or custom field on the other side.

How changes propagate between Citus 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.

Citus Quip Sub-second propagation

DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.

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

Quip Citus 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 applied to Citus as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • 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 Citus ⇄ Quip

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Citus 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 Citus or Quip record.

Observability

Monitoring

Track your Citus ⇄ Quip sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Citus and Quip.

How the Citus and Quip connectors work

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
Capabilities
read · write · CDC

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

    Choose tables

    Pick the Citus 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 · Citus ⇄ 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
    Citus Quip
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Citus 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
CSA STAR
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 437 integrations available for Citus and Quip.

Popular · 6 of 437
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