Real-time
Two-way sync
Changes in Materialize or Quip instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
Materialize to Quip integration — real-time, two-way sync
Keep Materialize 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Materialize and Quip
Get the data locked inside Quip into Materialize as live tables, and send results back where Quip can use them, without writing a pipeline.
Whatever Quip is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Users, Blobs, Documents, Spreadsheets from Quip into tables in Materialize continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Materialize can also be written back into fields in Quip where the tool can use them.
Common use cases
- 01 Write status rows from an operational database into a shared Quip Spreadsheet with update_spreadsheet_row so ops and deal-desk teams see live figures in-document.
- 02 Read Messages from project threads into a data store to analyze collaboration activity and comment volume per document.
- 03 Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
- 04 Bridge streaming sources and non-streaming destinations by materializing joins across both.
Common sync patterns
Analytics on Quip's data
Records and events from Quip land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Cross-tool reporting
Combine Quip's data with data from every other synced system to answer questions no single tool can.
Where Quip accepts updates: operational write-back
Segments, scores, or reference values computed in Materialize sync back onto records in Quip, putting analysis where the work happens.
What you can sync between Materialize 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.
| Materialize objects | Quip objects | How this pairing syncs | |
|---|---|---|---|
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Blobs Images and file attachments stored per thread; downloaded with get_blob and uploaded with put_blob against a specific thread ID. | Connections & Secrets is specific to Materialize and Blobs to Quip — each maps to any object or custom field on the other side. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | 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. | Schemas & Databases is specific to Materialize and Documents to Quip — each maps to any object or custom field on the other side. | |
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | 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. | Tables is specific to Materialize and Spreadsheets to Quip — each maps to any object or custom field on the other side. | |
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Folders Private, Shared, and Group containers that organize threads; membership is added or removed via the folders endpoints for access control. | Sources is specific to Materialize and Folders to Quip — each maps to any object or custom field on the other side. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Messages Comments and chat posts on a thread; the most recent are read with get_messages and new ones written with new_message. | Materialized Views is specific to Materialize and Messages to Quip — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | Users Member records read individually or via contacts; get_authenticated_user identifies the token owner. Used read-only for directory-style syncs. | Sinks is specific to Materialize and Users to Quip — each maps to any object or custom field on the other side. |
How changes propagate between Materialize 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.
Materialize Quip Sub-second propagation
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryEach detected change is written to Quip through its API, with automatic retries and rate-limit backoff.
Quip Materialize 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 Materialize 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 Materialize ⇄ Quip
Connect Materialize and Quip for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Quip connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Materialize 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 Materialize or Quip record.
Observability
Monitoring
Track your Materialize ⇄ Quip sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Materialize and Quip.
How the Materialize and Quip connectors work
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- 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 Materialize 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.
- 01
Connect your apps
Authenticate Materialize 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.
Materialize
connected
Quip
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Materialize 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.
objects · Materialize ⇄ QuipCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Materialize QuipCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Materialize and Quip integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Materialize and Quip: authenticate both systems, choose the objects to sync (such as Materialize's Connections & Secrets and Schemas & Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Materialize and Quip. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. On Quip: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Quip side: Users, Blobs, Documents, Spreadsheets, plus custom fields where Quip exposes them. On the Materialize side: Sources, Materialized Views, Sinks, Indexes. 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 Materialize and Quip: Analytics on Quip's data; Cross-tool reporting; Where Quip accepts updates: operational write-back. Records and events from Quip land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 442 integrations available for Materialize and Quip.
Popular · 7 of 442
-
Materialize ⇄ Asana -
Materialize ⇄ Docusign -
Materialize ⇄ Monday -
Quip ⇄ Google Cloud Platform -
Quip ⇄ Greenplum -
Quip ⇄ IBM Netezza -
Quip ⇄ Rockset
No integrations match .
