Two-way sync
Changes in Hyperline or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Hyperline 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 need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Payments, Billable events, Credit notes, Customers from Hyperline into Schemas, Hypertables, Chunks, Continuous Aggregates in TimescaleDB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against TimescaleDB, and rows your code writes or updates flow back into Hyperline with validation, so the finance system stays the system of record.
Build dashboards and back-office tools directly on TimescaleDB; Stacksync handles the API calls, rate limits, and retries against Hyperline.
Updates written to the synced tables in TimescaleDB propagate into Hyperline, so automations can create or correct finance records without custom integration code.
Changes in Hyperline appear in TimescaleDB as row changes, so you can trigger downstream logic with the database tooling you already use.
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.
| Hyperline objects | TimescaleDB objects | |
|---|---|---|
| Products / prices The catalog of products and price configurations referenced by subscriptions. | Views Standard SQL views used to shape or filter data for consumers. | |
| Invoices Issued billing documents synced into accounting and reporting systems. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Payments Settlement records used to reconcile revenue against invoices. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Billable events Metered consumption events ingested to drive usage-based charges. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Credit notes Adjustments and refunds synced for accurate revenue reporting. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Customers Billing accounts that syncs match against CRM and product records. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Hyperline–TimescaleDB connection.
Changes in Hyperline or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Hyperline 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 Hyperline or TimescaleDB record.
Track your Hyperline ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Hyperline 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 Hyperline 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 Hyperline 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 Hyperline and TimescaleDB: authenticate both systems, choose the objects to sync (such as Hyperline's Products / prices and Invoices), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Hyperline and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Hyperline–TimescaleDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Hyperline and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Hyperline: Webhooks for billing events, with polling as a fallback. 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 Hyperline side: Payments, Billable events, Credit notes, Customers, plus custom fields where Hyperline 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.
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 Hyperline and TimescaleDB.