Real-time
Two-way sync
Changes in Materialize or Wrike instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
Materialize to Wrike integration — real-time, two-way sync
Keep Materialize 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
- 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 Materialize and Wrike
Get the data locked inside Wrike into Materialize as live tables, and send results back where Wrike can use them, without writing a pipeline.
Whatever Wrike 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 Comments, Timelogs, Contacts, Workflows from Wrike 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 Wrike where the tool can use them.
Common use cases
- 01 Two-way sync of Tasks and their Custom Fields between a Wrike project and Postgres so ops teams work in SQL while project owners stay in Wrike.
- 02 Write closed deals or new orders from a CRM or ERP into Wrike Tasks to launch delivery, onboarding, or fulfillment projects automatically.
- 03 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
- 04 Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
Common sync patterns
Where Wrike accepts updates: operational write-back
Segments, scores, or reference values computed in Materialize sync back onto records in Wrike, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in Materialize preserves a queryable record even as data ages out of Wrike or gets changed inside it.
Analytics on Wrike's data
Records and events from Wrike land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.
What you can sync between Materialize 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.
| Materialize objects | Wrike objects | How this pairing syncs | |
|---|---|---|---|
| Sinks Outbound connections that emit view changes to Kafka topics. | Contacts Account members and user groups referenced by task responsibles and authors; read to resolve IDs to names and email addresses. | Sinks is specific to Materialize and Contacts to Wrike — each maps to any object or custom field on the other side. | |
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Workflows Sets of custom statuses grouped into stages (Active, Completed, Cancelled, Deferred); read to map task status transitions to database values. | Indexes is specific to Materialize and Workflows to Wrike — each maps to any object or custom field on the other side. | |
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. | Clusters is specific to Materialize and Spaces to Wrike — each maps to any object or custom field on the other side. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | 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. | Connections & Secrets is specific to Materialize and Tasks to Wrike — each maps to any object or custom field on the other side. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | 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. | Schemas & Databases is specific to Materialize and Folders & Projects to Wrike — each maps to any object or custom field on the other side. | |
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | 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. | Tables is specific to Materialize and Custom Fields to Wrike — each maps to any object or custom field on the other side. |
How changes propagate between Materialize 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.
Materialize Wrike 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 Wrike through its API, with automatic retries and rate-limit backoff.
Wrike Materialize 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 applied to Materialize as a row-level write, with types converted between the two schemas.
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 Materialize ⇄ Wrike
Connect Materialize and Wrike for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Wrike connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Materialize 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 Materialize or Wrike record.
Observability
Monitoring
Track your Materialize ⇄ Wrike 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 Wrike.
How the Materialize and Wrike 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
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 Materialize 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 Materialize 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.
Materialize
connected
Wrike
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Materialize 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 · Materialize ⇄ 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.
Materialize WrikeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Materialize and Wrike integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Materialize and Wrike: authenticate both systems, choose the objects to sync (such as Materialize's Sinks and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Materialize and Wrike: Where Wrike accepts updates: operational write-back; History that outlives the tool; Analytics on Wrike's data. Segments, scores, or reference values computed in Materialize sync back onto records in Wrike, putting analysis where the work happens.
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Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). Wrike: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Wrike: Webhooks can be scoped to a single folder, a space, or the entire account and support event filtering plus customizable payload fields, so a sync subscribes at the scope that matches its coverage. Materialize: It ingests CDC from Postgres and MySQL and streams from Kafka as first-class sources. Stacksync's field mapping accounts for these differences between Materialize and Wrike without custom code.
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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 Materialize 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 Materialize and Wrike connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–Wrike integration in-house.
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 Wrike.
Popular · 5 of 442
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Materialize ⇄ eClinicalWorks -
Materialize ⇄ Google Sheets -
Wrike ⇄ Databricks -
Wrike ⇄ AWS S3 -
Wrike ⇄ Amazon Redshift
No integrations match .
