Real-time
Two-way sync
Changes in Neo4j or Wrike instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Neo4j to Wrike integration — real-time, two-way sync
Keep Neo4j and Wrike 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Neo4j and Wrike
Mirror Wrike's data into Neo4j 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 Wrike 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 Timelogs, Contacts, Workflows, Spaces from Wrike into Indexes & Constraints, Databases, Users & Roles, Nodes 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 Wrike, so the tool and the database never disagree.
Common use cases
- 01 Mirror Folders, Projects, and Timelogs into a warehouse for cross-team reporting on status, timelines, and logged hours without manual exports.
- 02 Push support tickets or intake requests from an operational database into Wrike Tasks, then read completion and status Custom Fields back when work finishes.
- 03 Sync product catalog and order history into Neo4j to power recommendation queries.
- 04 Feed identity and access data into a graph for entitlement and blast-radius analysis.
Common sync patterns
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.
Read Wrike with a query
Records from Wrike are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.
Automate Wrike from your codebase
Write to the synced tables in Neo4j and Stacksync propagates the change into Wrike, replacing custom integration code.
What you can sync between Neo4j and Wrike
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 | Wrike objects | How this pairing syncs | |
|---|---|---|---|
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. | Indexes & Constraints is specific to Neo4j and Spaces to Wrike — 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. | Tasks The primary unit of work and main record; created, updated, completed, and deleted via the REST v4 API and synced two-way. Subtasks are Tasks linked by superTask/subTask references. | Databases is specific to Neo4j and Tasks to Wrike — 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. | Folders & Projects The container hierarchy: Folders group Tasks, and Projects add dates, an owner, and a status. Each maps to a synced table scope, and its structure defines what a sync covers. | Users & Roles is specific to Neo4j and Folders & Projects to Wrike — each maps to any object or custom field on the other side. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Custom Fields Typed fields (Text, Numeric, Date, DropDown, Contacts, Checkbox) defined at account or space level; mapped to database columns, with values written by field ID. | Nodes is specific to Neo4j and Custom Fields to Wrike — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. | Relationships is specific to Neo4j and Comments to Wrike — 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. | Timelogs Time-tracking entries logged against Tasks; read for billing and utilization reporting or written back when hours are recorded elsewhere. | Properties is specific to Neo4j and Timelogs to Wrike — each maps to any object or custom field on the other side. |
How changes propagate between Neo4j and Wrike
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.
Neo4j Wrike Sub-second propagation
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 Wrike through its API, with automatic retries and rate-limit backoff.
Wrike Neo4j Sub-second propagation
DetectionWrike notifies Stacksync of record changes through webhook events. Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Wrike: Approximately 400 requests/minute per user (estimated on a per-second basis) with a higher per-IP ceiling; exceeding the limit or tripping Wrike's internal overload protection returns HTTP 429, handled with exponential backoff.
What ships with Neo4j ⇄ Wrike
Connect Neo4j and Wrike for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Wrike connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or Wrike 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 Neo4j or Wrike record.
Observability
Monitoring
Track your Neo4j ⇄ Wrike sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Neo4j and Wrike.
How the Neo4j and Wrike connectors work
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
Wrike
- Integration surface
- REST API v4 (JSON), single account endpoint such as www.wrike.com/api/v4; the data-center host (US or EU) comes from the OAuth token response, plus REST-managed Webhooks
- Authentication
- OAuth 2.0 for multi-user apps (Authorization header carrying access_token and requested scopes), and a legacy Permanent Access Token for single-account and testing use
- Change detection
- Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event filtering and custom payload fields; polling the task updatedDate is the fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Approximately 400 requests/minute per user (estimated on a per-second basis) with a higher per-IP ceiling; exceeding the limit or tripping Wrike's internal overload protection returns HTTP 429, handled with exponential backoff
How it works
How to connect Neo4j to Wrike — 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 Neo4j and Wrike with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Neo4j
connected
Wrike
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and Wrike 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 · Neo4j ⇄ WrikeCustomers 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.
Neo4j WrikeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Wrike integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Wrike: authenticate both systems, choose the objects to sync (such as Neo4j's Indexes & Constraints and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Wrike records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Wrike connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Wrike integration in-house.
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Yes — Stacksync ships production-grade connectors for both Neo4j and Wrike. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On Wrike: Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event filtering and custom payload fields; polling the task updatedDate is the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Wrike side: Timelogs, Contacts, Workflows, Spaces, plus custom fields where Wrike exposes them. On the Neo4j side: Indexes & Constraints, Databases, Users & Roles, Nodes. Stacksync auto-detects both schemas and converts types between the two systems.
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
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No integrations match .
