Real-time
Two-way sync
Changes in DuckDB or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Database
DuckDB to Redis Enterprise integration — real-time, two-way sync
Keep DuckDB and Redis Enterprise 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 Redis Enterprise
Keep DuckDB and Redis Enterprise 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 Redis Enterprise 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
- Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
- Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
- Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
- Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
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 Redis Enterprise, so each workload runs on the engine that suits it.
What you can sync between DuckDB and Redis Enterprise
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 | Redis Enterprise objects | |
|---|---|---|
| Schemas Namespaces within a database used to organize tables in sync outputs. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Views SQL views used to shape or filter data for downstream consumers. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Lists Ordered sequences often used as lightweight queues fed by sync events. |
What ships with DuckDB ⇄ Redis Enterprise
Connect DuckDB and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DuckDB or Redis Enterprise 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 Redis Enterprise record.
Observability
Monitoring
Track your DuckDB ⇄ Redis Enterprise 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 Redis Enterprise.
How the DuckDB and Redis Enterprise 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
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect DuckDB to Redis Enterprise — 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 Redis Enterprise 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
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DuckDB and Redis Enterprise 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 ⇄ Redis EnterpriseCustomers 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 Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DuckDB and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between DuckDB and Redis Enterprise: 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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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.
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Common patterns for DuckDB and Redis Enterprise: 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.
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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). Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. 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. Redis Enterprise: Data structures are typed server-side (hashes, sets, sorted sets, streams), so sync mappings target a structure and key convention rather than tables and columns. Stacksync's field mapping accounts for these differences between DuckDB and Redis Enterprise 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 Redis Enterprise records are not retained after a sync operation.
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 Redis Enterprise.
Popular · 8 of 386
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DuckDB ⇄ OCI Database (Oracle Cloud) -
DuckDB ⇄ OpenSearch -
DuckDB ⇄ Oracle DB -
DuckDB ⇄ RavenDB -
Redis Enterprise ⇄ Apache Cassandra -
Redis Enterprise ⇄ Azure Cosmos DB -
Redis Enterprise ⇄ Azure SQL Database -
Redis Enterprise ⇄ Citus
No integrations match .
