Two-way sync
Changes in Deposco or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Deposco 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.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Shipments, Purchase orders / ASNs, Receipts, Warehouses / Locations from Deposco into TimescaleDB and keeps both sides consistent in real time. Whatever Deposco is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in TimescaleDB sync back into Deposco with its validations respected.
Updates in Deposco arrive as row changes in TimescaleDB, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in TimescaleDB for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from TimescaleDB back into Deposco, keeping the ERP authoritative.
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.
| Deposco objects | TimescaleDB objects | |
|---|---|---|
| Sales orders Orders flowing in from ERP or e-commerce systems for fulfillment. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Shipments Outbound shipment and tracking records synced back to order-origin systems. | Views Standard SQL views used to shape or filter data for consumers. | |
| Purchase orders / ASNs Inbound expectations used to plan receiving. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Receipts Confirmation of received inventory that updates stock positions. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Warehouses / Locations Facility and bin structures that scope inventory records. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Customers Ship-to parties referenced on orders and shipments. | 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 Deposco–TimescaleDB connection.
Changes in Deposco or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Deposco 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 Deposco or TimescaleDB record.
Track your Deposco ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Deposco 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 Deposco 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 Deposco 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 Deposco and TimescaleDB: authenticate both systems, choose the objects to sync (such as Deposco's Sales orders and Shipments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Deposco: Polling on order and inventory endpoints, subject to the platform's integration patterns. 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 TimescaleDB side: Views, Schemas, Hypertables, Chunks, plus custom fields where TimescaleDB exposes them. On the Deposco side: Shipments, Purchase orders / ASNs, Receipts, Warehouses / Locations. 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 Deposco and TimescaleDB: React to ERP changes; Where Deposco is the HR system of record: people data for internal systems; Controlled write-back. Updates in Deposco arrive as row changes in TimescaleDB, so jobs and triggers can respond as the business record changes.
Deposco: REST API plus file-based interfaces (EDI and flat file) common to WMS integrations. Authentication: API credentials issued per integration (API key or basic authentication). TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. 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 Deposco and TimescaleDB.