Two-way sync
Changes in Customer.io or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Customer.io and TimescaleDB 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 TimescaleDB.
Stacksync mirrors Deliveries / Messages, Newsletters, People, Objects from Customer.io into Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas in TimescaleDB 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.
Updates in Customer.io arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
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 TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
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.
| Customer.io objects | TimescaleDB objects | |
|---|---|---|
| Segments Attribute- or event-based groups; data syncs feed the attributes segments evaluate. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Campaigns Automated workflows whose membership and metrics can be read via the App API. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Broadcasts One-off sends to segments or audiences, triggerable via API. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Newsletters Recurring email sends with performance metrics available for reporting syncs. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs. | Views Standard SQL views used to shape or filter data for consumers. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Customer.io–TimescaleDB connection.
Changes in Customer.io or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Customer.io or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Customer.io or TimescaleDB record.
Track your Customer.io ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Customer.io and TimescaleDB.
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 Customer.io and TimescaleDB 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 Customer.io and TimescaleDB 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 Customer.io and TimescaleDB: authenticate both systems, choose the objects to sync (such as Customer.io's Segments and Campaigns), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Customer.io side: Deliveries / Messages, Newsletters, People, Objects, plus custom fields where Customer.io exposes them. On the TimescaleDB side: Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas. 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 Customer.io and TimescaleDB: React to changes as they happen; One integration pattern for the whole stack; Read Customer.io with a query. Updates in Customer.io arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Customer.io: Reporting webhooks emit granular message lifecycle events, which is the practical way to get engagement data out at scale. TimescaleDB: Native compression converts older chunks to a columnar layout while keeping them queryable with the same SQL. Stacksync's field mapping accounts for these differences between Customer.io and TimescaleDB without custom code.
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 Customer.io and TimescaleDB.