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Database ⇄ Business productivity

Postgres Heroku to Wrike integration — real-time, two-way sync

Keep Postgres Heroku 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 Postgres Heroku and Wrike

Mirror Wrike's data into Postgres Heroku 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 Postgres Heroku.

Stacksync mirrors Workflows, Spaces, Tasks, Folders & Projects from Wrike into Tables, Views, Materialized Views, Schemas in Postgres Heroku 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 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • 04 Keep several Heroku app databases aligned with one system of record

Common sync patterns

Read Wrike with a query

Records from Wrike are ordinary rows in Postgres Heroku; 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 Postgres Heroku 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 Postgres Heroku, so triggers, jobs, and services can respond in near real time.

What you can sync between Postgres Heroku 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.

Postgres Heroku objects Wrike objects How this pairing syncs
Tables Standard Postgres tables; the primary two-way sync target for app data. 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. Tables is specific to Postgres Heroku and Tasks to Wrike — each maps to any object or custom field on the other side.
Views Read-side projections exposed to outbound syncs. 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. Views is specific to Postgres Heroku and Folders & Projects to Wrike — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets synced outward on refresh. 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. Materialized Views is specific to Postgres Heroku and Custom Fields to Wrike — each maps to any object or custom field on the other side.
Schemas Namespaces that scope which tables a sync reads and writes. Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. Schemas is specific to Postgres Heroku and Comments to Wrike — each maps to any object or custom field on the other side.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. Timelogs Time-tracking entries logged against Tasks; read for billing and utilization reporting or written back when hours are recorded elsewhere. Primary and Unique Keys is specific to Postgres Heroku and Timelogs to Wrike — each maps to any object or custom field on the other side.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Contacts Account members and user groups referenced by task responsibles and authors; read to resolve IDs to names and email addresses. JSONB Columns is specific to Postgres Heroku and Contacts to Wrike — each maps to any object or custom field on the other side.

How changes propagate between Postgres Heroku 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.

Postgres Heroku Wrike Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

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

Wrike Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
  • 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 Postgres Heroku ⇄ Wrike

Connect Postgres Heroku and Wrike for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Wrike connection.

Real-time

Two-way sync

Changes in Postgres Heroku or Wrike instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Wrike record.

Observability

Monitoring

Track your Postgres Heroku ⇄ Wrike sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Wrike.

How the Postgres Heroku and Wrike connectors work

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan

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

    Choose tables

    Pick the Postgres Heroku 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 · Postgres Heroku ⇄ 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
    Postgres Heroku Wrike
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Postgres Heroku 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 453 integrations available for Postgres Heroku and Wrike.

Popular · 8 of 453
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