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Database ⇄ Business productivity

Citus to Orderful integration — real-time, two-way sync

Keep Citus and Orderful 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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Migrated from Mulesoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Citus and Orderful

Mirror Orderful's data into Citus 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 Orderful 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 Citus.

Stacksync mirrors Webhook events, Transactions, Trading partners, Relationships from Orderful into Schemas, Views, Sequences, Distributed tables in Citus 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 Orderful, so the tool and the database never disagree.

Common use cases

  • Mirror transaction statuses and acknowledgments into a database for supply chain visibility dashboards.
  • Onboard new retail partners by mapping Orderful's JSON transactions to existing order tables instead of building per-partner EDI maps.
  • Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
  • Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.

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 Orderful with a query

Records from Orderful are ordinary rows in Citus; join them, index them, and use them in application logic without touching the vendor API.

Automate Orderful from your codebase

Write to the synced tables in Citus and Stacksync propagates the change into Orderful, replacing custom integration code.

What you can sync between Citus and Orderful

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.

Citus objects Orderful objects
Schemas Standard Postgres namespaces used to scope what a sync user can read and write. Acknowledgments 997 functional acknowledgments confirming receipt of transmitted documents
Views Curated projections over distributed data, often used as read-only sync sources. Webhook events Push notifications for inbound documents and transaction status changes
Sequences Key generators that matter when external writes must not collide with application inserts. Transactions EDI documents such as 850 purchase orders, 810 invoices, and 856 ship notices, represented as JSON
Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. Trading partners The retailers, carriers, and suppliers a company exchanges documents with
Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. Relationships Active partner connections per transaction type that govern what can be sent and received
Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. Validation guidelines Partner-specific rules transactions are checked against before delivery
What ships with Citus ⇄ Orderful

Connect Citus and Orderful for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Orderful connection.

Real-time

Two-way sync

Changes in Citus or Orderful instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Citus or Orderful 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 Citus or Orderful record.

Observability

Monitoring

Track your Citus ⇄ Orderful sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Citus and Orderful.

How the Citus and Orderful connectors work

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
Capabilities
read · write · CDC

Orderful

Integration surface
REST API (JSON)
Authentication
API key
Change detection
webhooks push inbound transactions and status events; polling available as fallback
Capabilities
read · write · webhooks
Rate limits
subject to the platform's API rate limits
How it works

How to connect Citus to Orderful — 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 Citus and Orderful 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
    Citus connected
    Orderful connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Citus and Orderful 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 · Citus ⇄ Orderful
    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
    Citus Orderful
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Citus and Orderful integration FAQ

SECURITY

Security teams love 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 386 integrations available for Citus and Orderful.

Popular · 8 of 386
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