Two-way sync
Changes in Neo4j or Quip instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j 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.
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 Neo4j.
Stacksync mirrors Blobs, Documents, Spreadsheets, Folders from Quip into Users & Roles, Nodes, Relationships, Properties in Neo4j 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.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Quip are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Neo4j and Stacksync propagates the change into Quip, replacing custom integration code.
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.
| Neo4j objects | Quip objects | How this pairing syncs | |
|---|---|---|---|
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Users Member records read individually or via contacts; get_authenticated_user identifies the token owner. Used read-only for directory-style syncs. | Relationships is specific to Neo4j and Users to Quip — each maps to any object or custom field on the other side. | |
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Blobs Images and file attachments stored per thread; downloaded with get_blob and uploaded with put_blob against a specific thread ID. | Properties is specific to Neo4j and Blobs to Quip — each maps to any object or custom field on the other side. | |
| Labels Node type markers used to map source tables or objects onto the graph. | 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. | Labels is specific to Neo4j and Documents to Quip — each maps to any object or custom field on the other side. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | 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. | Indexes & Constraints is specific to Neo4j and Spreadsheets to Quip — each maps to any object or custom field on the other side. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Folders Private, Shared, and Group containers that organize threads; membership is added or removed via the folders endpoints for access control. | Databases is specific to Neo4j and Folders to Quip — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Messages Comments and chat posts on a thread; the most recent are read with get_messages and new ones written with new_message. | Users & Roles is specific to Neo4j and Messages to Quip — 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.
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
DeliveryEach detected change is written to Quip through its API, with automatic retries and rate-limit backoff.
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 Neo4j through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Quip connection.
Changes in Neo4j or Quip instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or Quip data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Neo4j or Quip record.
Track your Neo4j ⇄ Quip sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and Quip.
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 Neo4j 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.
Pick the Neo4j 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.
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 Neo4j and Quip: authenticate both systems, choose the objects to sync (such as Neo4j's Relationships and Properties), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Neo4j and Quip records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Quip connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Quip integration in-house.
Yes — Stacksync ships production-grade connectors for both Neo4j and Quip. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. 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: Blobs, Documents, Spreadsheets, Folders, plus custom fields where Quip exposes them. On the Neo4j side: Users & Roles, Nodes, Relationships, Properties. Stacksync auto-detects both schemas and converts types between the two systems.
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 522 integrations available for Neo4j and Quip.