Two-way sync
Changes in Klaviyo or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Klaviyo 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 Klaviyo 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 Segments, Events, Metrics, Campaigns from Klaviyo into Schemas, Hypertables, Chunks, Continuous Aggregates 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 Klaviyo, so the tool and the database never disagree.
Updates in Klaviyo 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 Klaviyo 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.
| Klaviyo objects | TimescaleDB objects | |
|---|---|---|
| Tags Organizational labels on campaigns, flows, and lists support reporting rollups. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Profiles Person records with arbitrary custom properties are the target for CRM and warehouse-sourced attributes. | Views Standard SQL views used to shape or filter data for consumers. | |
| Lists Static audience memberships sync in from CRMs and forms for targeting. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Segments Dynamic audiences are readable so other tools can mirror who qualifies. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Events Timestamped behavioral records tied to metrics; external order and product events are pushed in to trigger flows. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Metrics Event type definitions organize the activity stream used in segmentation and attribution. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Klaviyo–TimescaleDB connection.
Changes in Klaviyo or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Klaviyo 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 Klaviyo or TimescaleDB record.
Track your Klaviyo ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Klaviyo 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 Klaviyo 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 Klaviyo 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 Klaviyo and TimescaleDB: authenticate both systems, choose the objects to sync (such as Klaviyo's Tags and Profiles), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Klaviyo and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Klaviyo: Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Klaviyo side: Segments, Events, Metrics, Campaigns, plus custom fields where Klaviyo exposes them. On the TimescaleDB side: Schemas, Hypertables, Chunks, Continuous Aggregates. 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 Klaviyo and TimescaleDB: React to changes as they happen; One integration pattern for the whole stack; Read Klaviyo with a query. Updates in Klaviyo arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
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 Klaviyo and TimescaleDB.