Two-way sync
Changes in Citus or NetSuite instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and NetSuite 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 Nexus, Tax Type, Sales Tax Item, Billing Schedule Customer Subsidiary Relationship from NetSuite into Citus and keeps both sides consistent in real time. Whatever NetSuite 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 NetSuite with its validations respected.
Worker and org records stay current in Citus for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from Citus back into NetSuite, keeping the ERP authoritative.
Records from NetSuite live in Citus as ordinary tables or collections, joinable with the rest of your data.
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 | NetSuite objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Nexus Synced with incremental and full sync per the Stacksync docs. | Schemas is specific to Citus and Nexus to NetSuite — 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. | Tax Type Synced with incremental and full sync per the Stacksync docs. | Views is specific to Citus and Tax Type to NetSuite — 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. | Sales Tax Item Synced with incremental and full sync per the Stacksync docs. | Sequences is specific to Citus and Sales Tax Item to NetSuite — 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. | Billing Schedule Customer Subsidiary Relationship Synced with incremental and full sync per the Stacksync docs. | Distributed tables is specific to Citus and Billing Schedule Customer Subsidiary Relationship to NetSuite — 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. | Account Synced with incremental and full sync per the Stacksync docs. | Reference tables is specific to Citus and Account to NetSuite — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Accounting Period Synced with incremental and full sync per the Stacksync docs. | Local tables is specific to Citus and Accounting Period to NetSuite — 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 NetSuite through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls NetSuite for changes on an incremental schedule, reading only records changed since the previous pass. Polling on lastModifiedDate via SuiteQL or saved searches.
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–NetSuite connection.
Changes in Citus or NetSuite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or NetSuite 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 NetSuite record.
Track your Citus ⇄ NetSuite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and NetSuite.
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 NetSuite 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 NetSuite 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 NetSuite: authenticate both systems, choose the objects to sync (such as Citus's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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). NetSuite: Every record type supports custom fields, and entirely custom record types can be defined, all accessible through the same web services. Stacksync's field mapping accounts for these differences between Citus and NetSuite 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 NetSuite records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and NetSuite connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–NetSuite integration in-house.
Yes — Stacksync ships production-grade connectors for both Citus and NetSuite. 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 NetSuite: Polling on lastModifiedDate via SuiteQL or saved searches; no native webhooks without custom SuiteScript. 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 455 integrations available for Citus and NetSuite.