Two-way sync
Changes in Citus or Syspro instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and Syspro 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 Warehouses, Customers, Suppliers, Inventory items from Syspro into Citus and keeps both sides consistent in real time. Whatever Syspro 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 Syspro with its validations respected.
Choose exactly which tables and fields may flow from Citus back into Syspro, keeping the ERP authoritative.
Records from Syspro 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 Syspro 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 | Syspro objects | How this pairing syncs | |
|---|---|---|---|
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Suppliers AP supplier records synced with procurement and payment systems. | Distributed tables is specific to Citus and Suppliers to Syspro — 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. | Inventory items The stock master, kept aligned with WMS and e-commerce catalogs. | Reference tables is specific to Citus and Inventory items to Syspro — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Sales orders Orders written in from storefronts and CRMs, with status read back out. | Local tables is specific to Citus and Sales orders to Syspro — 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. | Purchase orders Procurement documents synced with supplier portals and receiving. | Schemas is specific to Citus and Purchase orders to Syspro — 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. | Jobs (work orders) Manufacturing jobs and WIP tracked for production reporting. | Views is specific to Citus and Jobs (work orders) to Syspro — 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. | Bills of materials Product structures referenced when syncing manufacturing data. | Sequences is specific to Citus and Bills of materials to Syspro — 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 Syspro through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Syspro for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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–Syspro connection.
Changes in Citus or Syspro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Syspro 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 Syspro record.
Track your Citus ⇄ Syspro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Syspro.
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 Syspro 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 Syspro 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 Syspro: authenticate both systems, choose the objects to sync (such as Citus's Distributed tables and Reference tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Citus and Syspro: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Citus back into Syspro, keeping the ERP authoritative.
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). Syspro: E.net Solutions business objects, exposed over REST and WCF interfaces in SYSPRO 8. Authentication: SYSPRO operator credentials exchanged for a session token. Stacksync manages authentication, retries, and rate limits on both sides.
Citus: Because shard data lives on worker nodes, log-based CDC is more involved than on single-node Postgres and depends on the Citus version and hosting (including the Azure managed service). Syspro: The product targets discrete manufacturing and distribution, so the object model centers on inventory, jobs, and order documents. Stacksync's field mapping accounts for these differences between Citus and Syspro 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 Syspro records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Syspro connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Syspro integration in-house.
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 432 integrations available for Citus and Syspro.