Real-time
Two-way sync
Changes in DuckDB or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Database
DuckDB to RavenDB integration — real-time, two-way sync
Keep DuckDB and RavenDB 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
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect DuckDB and RavenDB
Keep DuckDB and RavenDB 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 RavenDB 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
- 01 Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
- 02 Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
- 03 Keep external search indexes or caches current from RavenDB change feeds without custom pollers.
- 04 Stream RavenDB document changes into Postgres or a warehouse via data subscriptions for SQL analytics.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both DuckDB and RavenDB, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between DuckDB and RavenDB
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 | RavenDB objects | How this pairing syncs | |
|---|---|---|---|
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Counters Numeric values attached to documents that change independently of the document body | External files (Parquet/CSV/JSON) is specific to DuckDB and Counters to RavenDB — each maps to any object or custom field on the other side. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Time series Timestamped measurements stored per document, synced for metrics analysis | Attached databases is specific to DuckDB and Time series to RavenDB — each maps to any object or custom field on the other side. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Data subscriptions Server-side change feeds that push matching documents to consumers | Database files is specific to DuckDB and Data subscriptions to RavenDB — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | Documents JSON records, the primary unit read and written during sync | Schemas is specific to DuckDB and Documents to RavenDB — each maps to any object or custom field on the other side. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Collections Groupings of documents by type, mapped to tables in relational targets | Tables is specific to DuckDB and Collections to RavenDB — each maps to any object or custom field on the other side. | |
| Views SQL views used to shape or filter data for downstream consumers. | Indexes Static and auto indexes used to query documents for filtered reads | Views is specific to DuckDB and Indexes to RavenDB — each maps to any object or custom field on the other side. |
How changes propagate between DuckDB and RavenDB
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DuckDB RavenDB Interval-based propagation
DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.
DeliveryEach detected change is written to RavenDB through its API, with automatic retries and rate-limit backoff.
RavenDB DuckDB Sub-second propagation
DetectionChanges in RavenDB are captured at the source via change data capture — no polling loop against its API. Data subscriptions and the Changes API provide server-pushed change feeds.
DeliveryEach detected change is applied to DuckDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
- RavenDB: Throughput bounded by cluster resources rather than API quotas.
What ships with DuckDB ⇄ RavenDB
Connect DuckDB and RavenDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–RavenDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DuckDB or RavenDB 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 RavenDB record.
Observability
Monitoring
Track your DuckDB ⇄ RavenDB 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 RavenDB.
How the DuckDB and RavenDB 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
RavenDB
- Integration surface
- HTTP REST API with official clients (.NET, Java, Node.js, Python, and others)
- Authentication
- X.509 client certificates on secured servers, instead of username and password
- Change detection
- data subscriptions and the Changes API provide server-pushed change feeds
- Capabilities
- read · write · CDC
- Rate limits
- throughput bounded by cluster resources rather than API quotas
How it works
How to connect DuckDB to RavenDB — 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 RavenDB 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
RavenDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DuckDB and RavenDB 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 ⇄ RavenDBCustomers 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 RavenDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DuckDB and RavenDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DuckDB and RavenDB: authenticate both systems, choose the objects to sync (such as DuckDB's External files (Parquet/CSV/JSON) and Attached databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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). RavenDB: HTTP REST API with official clients (.NET, Java, Node.js, Python, and others). Authentication: X.509 client certificates on secured servers, instead of username and password. Stacksync manages authentication, retries, and rate limits on both sides.
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DuckDB: Concurrency is single-writer: one process holds write access to a database file at a time, which shapes how sync jobs schedule writes. RavenDB: Data subscriptions deliver a resumable, reliable stream of documents matching a query, which fits continuous sync without external CDC tooling. Stacksync's field mapping accounts for these differences between DuckDB and RavenDB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means DuckDB and RavenDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed DuckDB and RavenDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DuckDB–RavenDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both DuckDB and RavenDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams trust 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
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
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