Two-way sync
Changes in Citus or Customer.io instantly reflect in both systems. No stale data, no manual imports.
Keep Citus and Customer.io in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Customer.io 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 Objects, Events, Segments, Campaigns from Customer.io into Views, Sequences, Distributed tables, Reference 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 Customer.io, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Customer.io are ordinary rows in Citus; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Citus and Stacksync propagates the change into Customer.io, replacing custom integration code.
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 | Customer.io objects | |
|---|---|---|
| Sequences Key generators that matter when external writes must not collide with application inserts. | Objects Non-person entities such as accounts or companies, related to people for account-level messaging. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Events Behavioral events sent via the Track API that trigger campaigns. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Segments Attribute- or event-based groups; data syncs feed the attributes segments evaluate. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Campaigns Automated workflows whose membership and metrics can be read via the App API. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Broadcasts One-off sends to segments or audiences, triggerable via API. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Customer.io connection.
Changes in Citus or Customer.io instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Customer.io 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 Customer.io record.
Track your Citus ⇄ Customer.io sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Customer.io.
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 Customer.io 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 Customer.io 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 Customer.io: authenticate both systems, choose the objects to sync (such as Citus's Sequences and Distributed tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Customer.io: Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Customer.io side: Objects, Events, Segments, Campaigns, plus custom fields where Customer.io exposes them. On the Citus side: Views, Sequences, Distributed tables, Reference tables. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Citus and Customer.io: One integration pattern for the whole stack; Read Customer.io with a query; Automate Customer.io from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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). Customer.io: REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages. Authentication: Basic auth with site ID and API key for the Track API; bearer token for the App API. Stacksync manages authentication, retries, and rate limits on both sides.
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 386 integrations available for Citus and Customer.io.