Real-time
Two-way sync
Changes in DuckDB or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Database
DuckDB to YugabyteDB integration — real-time, two-way sync
Keep DuckDB and YugabyteDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect DuckDB and YugabyteDB
Keep DuckDB and YugabyteDB synchronized in real time, across engines, regions, or services, in one or both directions.
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 YugabyteDB 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.
Common use cases
- Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
- Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
- Consolidate data from regional YugabyteDB clusters into one reporting store.
- Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both DuckDB and YugabyteDB, so each workload runs on the engine that suits it.
What you can sync between DuckDB and YugabyteDB
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 | YugabyteDB objects | |
|---|---|---|
| Schemas Namespaces within a database used to organize tables in sync outputs. | Sequences ID generation objects relevant when syncing writes into YSQL tables. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. | |
| Views SQL views used to shape or filter data for downstream consumers. | Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Tables Distributed SQL tables split into tablets; the primary read and write targets. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Indexes Global secondary indexes maintained transactionally alongside table writes. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Materialized Views Precomputed query results available in YSQL for read-side shaping. |
What ships with DuckDB ⇄ YugabyteDB
Connect DuckDB and YugabyteDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–YugabyteDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DuckDB or YugabyteDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single DuckDB or YugabyteDB record.
Observability
Monitoring
Track your DuckDB ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between DuckDB and YugabyteDB.
How the DuckDB and YugabyteDB connectors work
DuckDB
- Integration surface
- 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)
- Change detection
- Polling or full re-reads; no change feed or transaction log API
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by local compute and I/O
YugabyteDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
- Authentication
- Database credentials
- Change detection
- Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works
How to connect DuckDB to YugabyteDB — three steps, no code
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.
- 01
Connect your apps
Authenticate DuckDB and YugabyteDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DuckDB
connected
YugabyteDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DuckDB and YugabyteDB 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.
objects · DuckDB ⇄ YugabyteDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
DuckDB YugabyteDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DuckDB and YugabyteDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DuckDB and YugabyteDB: 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.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed DuckDB and YugabyteDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DuckDB–YugabyteDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both DuckDB and YugabyteDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on DuckDB: Polling or full re-reads; no change feed or transaction log API. On YugabyteDB: Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the DuckDB side: Attached databases, Database files, Schemas, Tables, plus custom fields where DuckDB exposes them. On the YugabyteDB side: Materialized Views, Schemas, Sequences, CDC Streams. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for DuckDB and YugabyteDB.
Popular · 8 of 386
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DuckDB ⇄ Dynamo DB -
DuckDB ⇄ IBM Db2 -
DuckDB ⇄ Firebase -
DuckDB ⇄ SingleStore -
YugabyteDB ⇄ Elasticsearch -
YugabyteDB ⇄ Google Cloud Spanner - YugabyteDB ⇄ Google Cloud SQL
- YugabyteDB ⇄ IBM AS/400
No integrations match .
