Two-way sync
Changes in DuckDB or Rillet instantly reflect in both systems. No stale data, no manual imports.
Keep DuckDB and Rillet 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 Invoice Payment, Charge, Reimbursement, Custom Field from Rillet into Views, External files (Parquet/CSV/JSON), Attached databases, Database files in DuckDB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against DuckDB, and rows your code writes or updates flow back into Rillet with validation, so the finance system stays the system of record.
Updates written to the synced tables in DuckDB propagate into Rillet, so automations can create or correct finance records without custom integration code.
Changes in Rillet appear in DuckDB as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Rillet live in DuckDB as regular tables or collections your team can join, index, and query.
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.
| DuckDB objects | Rillet objects | |
|---|---|---|
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Invoice Payment Synced with incremental and full sync per the Stacksync docs. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Charge Synced with incremental and full sync per the Stacksync docs. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | Reimbursement Synced with incremental and full sync per the Stacksync docs. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Custom Field Synced with incremental and full sync per the Stacksync docs. | |
| Views SQL views used to shape or filter data for downstream consumers. | Account Synced with incremental and full sync per the Stacksync docs. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Customer Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Rillet connection.
Changes in DuckDB or Rillet instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DuckDB or Rillet data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DuckDB or Rillet record.
Track your DuckDB ⇄ Rillet sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DuckDB and Rillet.
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 DuckDB and Rillet 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 DuckDB and Rillet 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 DuckDB and Rillet: authenticate both systems, choose the objects to sync (such as DuckDB's Attached databases and Database files), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on DuckDB: Polling or full re-reads; no change feed or transaction log API. On Rillet: Near real-time updates via change tracking; incremental sync per object, with delete detection (some objects checked every 1h or 4h). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Rillet side: Invoice Payment, Charge, Reimbursement, Custom Field, plus custom fields where Rillet exposes them. On the DuckDB side: Views, External files (Parquet/CSV/JSON), Attached databases, Database files. 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 DuckDB and Rillet: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in DuckDB propagate into Rillet, so automations can create or correct finance records without custom integration code.
DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). Rillet: REST API (OpenAPI-specified, with production and sandbox environments). Authentication: API key generated in Rillet (Organization Setting -> API Access); uncheck Read Only for bidirectional sync, check Read Only for one-way sync. 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 DuckDB and Rillet.