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Database ⇄ Business productivity

Google Cloud SQL to Wrike integration — real-time, two-way sync

Keep Google Cloud SQL 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.

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

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Why teams connect Google Cloud SQL and Wrike

Mirror Wrike's data into Google Cloud SQL 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 Google Cloud SQL.

Stacksync mirrors Custom Fields, Comments, Timelogs, Contacts from Wrike into Views, Transaction logs, Instances, Databases in Google Cloud SQL 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 Push support tickets or intake requests from an operational database into Wrike Tasks, then read completion and status Custom Fields back when work finishes.
  • 02 Sync Comments and status changes from Wrike into a database so downstream dashboards and tools react to project progress in near real time.
  • 03 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 04 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.

Common sync patterns

Automate Wrike from your codebase

Write to the synced tables in Google Cloud SQL and Stacksync propagates the change into Wrike, replacing custom integration code.

React to changes as they happen

Updates in Wrike arrive as row changes in Google Cloud SQL, 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 Google Cloud SQL 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.

Google Cloud SQL objects Wrike objects How this pairing syncs
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. Transaction logs is specific to Google Cloud SQL and Comments to Wrike — each maps to any object or custom field on the other side.
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Timelogs Time-tracking entries logged against Tasks; read for billing and utilization reporting or written back when hours are recorded elsewhere. Instances is specific to Google Cloud SQL and Timelogs to Wrike — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Contacts Account members and user groups referenced by task responsibles and authors; read to resolve IDs to names and email addresses. Databases is specific to Google Cloud SQL and Contacts to Wrike — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Workflows Sets of custom statuses grouped into stages (Active, Completed, Cancelled, Deferred); read to map task status transitions to database values. Schemas is specific to Google Cloud SQL and Workflows to Wrike — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. Tables is specific to Google Cloud SQL and Spaces to Wrike — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. 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. Rows is specific to Google Cloud SQL and Tasks to Wrike — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL 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.

Google Cloud SQL Wrike Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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

Wrike Google Cloud SQL 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 Google Cloud SQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • 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 Google Cloud SQL ⇄ Wrike

Connect Google Cloud SQL and Wrike for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Wrike connection.

Real-time

Two-way sync

Changes in Google Cloud SQL or Wrike instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud SQL 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 Google Cloud SQL or Wrike record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Wrike sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Wrike.

How the Google Cloud SQL and Wrike connectors work

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

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
Wrike setup guide
How it works

How to connect Google Cloud SQL 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.

  1. 01

    Connect your apps

    Authenticate Google Cloud SQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Cloud SQL connected
    Wrike connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Cloud SQL ⇄ Wrike
    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
    Google Cloud SQL Wrike
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL and Wrike 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 440 integrations available for Google Cloud SQL and Wrike.

Popular · 6 of 440
All Google Cloud SQL integrations All Wrike integrations Browse all integrations
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