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Database ⇄ Business productivity

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

Keep Google Cloud Spanner 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 Google Cloud Spanner and Wrike

Mirror Wrike's data into Google Cloud Spanner 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 Spanner.

Stacksync mirrors Folders & Projects, Custom Fields, Comments, Timelogs from Wrike into Rows, Interleaved tables, Secondary indexes, Change streams in Google Cloud Spanner 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 Consolidate data from a globally distributed Spanner deployment into regional business systems.
  • 04 Push billing or entitlement changes from finance tools into Spanner tables the application reads at runtime.

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 Google Cloud Spanner; 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 Google Cloud Spanner and Stacksync propagates the change into Wrike, replacing custom integration code.

What you can sync between Google Cloud Spanner 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 Spanner objects Wrike objects How this pairing syncs
Change streams Capture inserts, updates, and deletes for log-style change data capture. Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. Change streams is specific to Google Cloud Spanner and Spaces to Wrike — each maps to any object or custom field on the other side.
Views Read-only projections useful for shaping data before it leaves Spanner. 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. Views is specific to Google Cloud Spanner and Tasks to Wrike — each maps to any object or custom field on the other side.
Databases Top-level containers that scope schema and sync configuration. 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. Databases is specific to Google Cloud Spanner and Folders & Projects to Wrike — each maps to any object or custom field on the other side.
Tables Relational tables mapped one-to-one to sync targets. 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 Google Cloud Spanner and Custom Fields to Wrike — each maps to any object or custom field on the other side.
Rows The unit of read and write in each sync cycle, keyed by primary key. Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. Rows is specific to Google Cloud Spanner and Comments to Wrike — each maps to any object or custom field on the other side.
Interleaved tables Child rows physically co-located with parents; synced as related records. Timelogs Time-tracking entries logged against Tasks; read for billing and utilization reporting or written back when hours are recorded elsewhere. Interleaved tables is specific to Google Cloud Spanner and Timelogs to Wrike — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud Spanner 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 Spanner Wrike Sub-second propagation

DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.

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

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

Rate-limit considerations

  • Google Cloud Spanner: Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
  • 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 Spanner ⇄ Wrike

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

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

Real-time

Two-way sync

Changes in Google Cloud Spanner 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 Spanner 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 Spanner or Wrike record.

Observability

Monitoring

Track your Google Cloud Spanner ⇄ 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 Spanner and Wrike.

How the Google Cloud Spanner and Wrike connectors work

Google Cloud Spanner

Integration surface
gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
Authentication
Google Cloud IAM (service accounts)
Change detection
Change streams (log-style CDC), or timestamp-based polling queries
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.

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 Spanner 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 Spanner 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 Spanner connected
    Wrike connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Spanner 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 Spanner ⇄ 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 Spanner Wrike
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Google Cloud Spanner 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.

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 432 integrations available for Google Cloud Spanner and Wrike.

Popular · 5 of 432
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