Two-way sync
Changes in Citus or QAD ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and QAD ERP in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Items, Customers, Suppliers, Sales orders from QAD ERP into Citus and keeps both sides consistent in real time. Whatever QAD ERP is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Citus sync back into QAD ERP with its validations respected.
Choose exactly which tables and fields may flow from Citus back into QAD ERP, keeping the ERP authoritative.
Records from QAD ERP live in Citus as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the QAD ERP interface, limits, and retries.
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 | QAD ERP objects | How this pairing syncs | |
|---|---|---|---|
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Suppliers Vendor master data aligned with procurement and AP automation tools | Local tables is specific to Citus and Suppliers to QAD ERP — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Sales orders Demand records written in from EDI or e-commerce and read out for status | Schemas is specific to Citus and Sales orders to QAD ERP — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Purchase orders Procurement documents mirrored to planning and finance systems | Views is specific to Citus and Purchase orders to QAD ERP — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Work orders Production records replicated for scheduling and shop-floor analytics | Sequences is specific to Citus and Work orders to QAD ERP — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Inventory balances Stock levels by site and location, synced for multi-plant visibility | Distributed tables is specific to Citus and Inventory balances to QAD ERP — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | General ledger transactions Financial postings exported for consolidated reporting | Reference tables is specific to Citus and General ledger transactions to QAD ERP — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to QAD ERP through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls QAD ERP for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the API surface.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–QAD ERP connection.
Changes in Citus or QAD ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or QAD ERP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Citus or QAD ERP record.
Track your Citus ⇄ QAD ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and QAD ERP.
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.
Authenticate Citus and QAD ERP with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Citus and QAD ERP 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Citus and QAD ERP: authenticate both systems, choose the objects to sync (such as Citus's Local tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Citus: Distributed tables are sharded by a declared distribution column, and reference tables are fully replicated to all nodes; the table type changes how writes and joins behave. QAD ERP: QAD is deployed both in QAD's cloud and on-premises, so the available integration surface varies by install. Stacksync's field mapping accounts for these differences between Citus and QAD ERP without custom code.
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 Citus and QAD ERP records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and QAD ERP connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–QAD ERP integration in-house.
Yes — Stacksync ships production-grade connectors for both Citus and QAD ERP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On QAD ERP: Polling on the API surface; document-based event exchange available through QXtend in supported configurations. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 431 integrations available for Citus and QAD ERP.