Two-way sync
Changes in Kustomer or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Kustomer 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.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in TimescaleDB, where it can be queried and joined like everything else.
Stacksync mirrors Notes, Customers, Conversations, Messages from Kustomer into Schemas, Hypertables, Chunks, Continuous Aggregates in TimescaleDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Kustomer with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Back-office apps read and write the synced tables; Stacksync handles the Kustomer API, limits, and retries.
Field and stage updates in Kustomer arrive as row changes in TimescaleDB, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Kustomer become tables in TimescaleDB you can join with application data directly.
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.
| Kustomer objects | TimescaleDB objects | |
|---|---|---|
| Tags Labels on conversations and customers sync for categorization and analytics. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Notes Internal annotations carry context alongside synced conversations. | Views Standard SQL views used to shape or filter data for consumers. | |
| Customers The central record whose timeline aggregates every interaction; external attributes sync onto it. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Conversations Support threads across channels sync outward for analytics and CRM context. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Messages Individual messages within conversations support full-thread replication. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Companies Organization records group customers and map to CRM accounts. | 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 Kustomer–TimescaleDB connection.
Changes in Kustomer or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Kustomer 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 Kustomer or TimescaleDB record.
Track your Kustomer ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Kustomer 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 Kustomer 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 Kustomer 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 Kustomer and TimescaleDB: authenticate both systems, choose the objects to sync (such as Kustomer's Tags and Notes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Kustomer: Custom object types are called Klasses, and they are the standard mechanism for landing external data like orders and subscriptions where agents work. TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Stacksync's field mapping accounts for these differences between Kustomer and TimescaleDB 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 Kustomer and TimescaleDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Kustomer and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Kustomer–TimescaleDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Kustomer and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Kustomer: Outbound webhooks on record events, plus polling for backfill. 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.
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 Kustomer and TimescaleDB.