Two-way sync
Changes in DuckDB or TiDB instantly reflect in both systems. No stale data, no manual imports.
Keep DuckDB and TiDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between DuckDB and TiDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both DuckDB and TiDB, so each workload runs on the engine that suits it.
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 | TiDB objects | |
|---|---|---|
| Schemas Namespaces within a database used to organize tables in sync outputs. | Databases MySQL-style schemas addressed by any MySQL-compatible client. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. | |
| Views SQL views used to shape or filter data for downstream consumers. | Views Logical views for shaping reads before syncing outward. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Columns MySQL-compatible types mapped to fields in the paired system. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Indexes Secondary indexes that keep incremental sync queries efficient. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Sequences Server-side ID generation relevant when external systems write rows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–TiDB connection.
Changes in DuckDB or TiDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DuckDB or TiDB 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 TiDB record.
Track your DuckDB ⇄ TiDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DuckDB and TiDB.
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 TiDB 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 TiDB 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 TiDB: authenticate both systems, choose the objects to sync (such as DuckDB's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the DuckDB side: External files (Parquet/CSV/JSON), Attached databases, Database files, Schemas, plus custom fields where DuckDB exposes them. On the TiDB side: Indexes, Sequences, Databases, Tables. 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 TiDB: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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). TiDB: MySQL wire protocol (SQL). Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
DuckDB: Execution is columnar and vectorized, optimized for analytical scans rather than high-frequency transactional writes. TiDB: Storage and compute scale horizontally by adding TiKV and TiDB nodes rather than resizing a single server. Stacksync's field mapping accounts for these differences between DuckDB and TiDB without custom code.
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 TiDB.