Two-way sync
Changes in TimescaleDB or Zendesk instantly reflect in both systems. No stale data, no manual imports.
Keep TimescaleDB and Zendesk 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 Zendesk 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 Ticket Forms, Tickets, Tickets Comments, Users from Zendesk into Views, Schemas, Hypertables, Chunks 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 Zendesk, so the tool and the database never disagree.
Records from Zendesk are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in TimescaleDB and Stacksync propagates the change into Zendesk, replacing custom integration code.
Updates in Zendesk arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
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.
| TimescaleDB objects | Zendesk objects | |
|---|---|---|
| Views Standard SQL views used to shape or filter data for consumers. | Ticket Forms Synced with incremental and full sync per the Stacksync docs. | |
| Schemas Postgres namespaces used to separate synced datasets by team or environment. | Tickets The central work object; synced to databases for SLA and volume reporting or mirrored into engineering tools. | |
| Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Tickets Comments Synced with incremental and full sync per the Stacksync docs. | |
| Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Users End users and agents; matched to CRM contacts to keep requester data consistent. | |
| Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Organizations Company groupings for users; typically kept aligned with CRM accounts. | |
| Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Attachments Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every TimescaleDB–Zendesk connection.
Changes in TimescaleDB or Zendesk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever TimescaleDB or Zendesk data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single TimescaleDB or Zendesk record.
Track your TimescaleDB ⇄ Zendesk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between TimescaleDB and Zendesk.
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 TimescaleDB and Zendesk 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 TimescaleDB and Zendesk 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 TimescaleDB and Zendesk: authenticate both systems, choose the objects to sync (such as TimescaleDB's Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection 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. On Zendesk: Incremental export endpoints with cursor-based pagination, plus webhooks fired by triggers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Zendesk side: Ticket Forms, Tickets, Tickets Comments, Users, plus custom fields where Zendesk exposes them. On the TimescaleDB side: Views, Schemas, Hypertables, Chunks. 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 TimescaleDB and Zendesk: Read Zendesk with a query; Automate Zendesk from your codebase; React to changes as they happen. Records from Zendesk are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Zendesk: REST API. Authentication: OAuth app authorization: enter your Zendesk subdomain (from {sub_domain_name}.zendesk.com) in Stacksync Connections and click "Authorize App". 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 TimescaleDB and Zendesk.