Real-time
Two-way sync
Changes in Citus or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Database
Citus to Redis Enterprise integration — real-time, two-way sync
Keep Citus 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 Citus and Redis Enterprise
Keep Citus 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 Citus 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
- Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
- Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.
- Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.
- Hydrate session stores and feature stores from a warehouse or operational database on a schedule.
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 Citus and Redis Enterprise, 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.
What you can sync between Citus 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.
| Citus objects | Redis Enterprise objects | |
|---|---|---|
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Lists Ordered sequences often used as lightweight queues fed by sync events. |
What ships with Citus ⇄ Redis Enterprise
Connect Citus and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or Redis Enterprise record.
Observability
Monitoring
Track your Citus ⇄ 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 Citus and Redis Enterprise.
How the Citus and Redis Enterprise connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
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 Citus 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 Citus 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.
Citus
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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 · Citus ⇄ 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.
Citus Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Citus and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Citus's Reference tables and Local 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 Citus and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and Redis Enterprise. 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 Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. 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 Citus side: Schemas, Views, Sequences, Distributed tables, plus custom fields where Citus exposes them. On the Redis Enterprise side: Pub/Sub channels, Search indexes, Keys (Strings), Hashes. 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 Citus and Redis Enterprise.
Popular · 8 of 386
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Citus ⇄ Amazon RDS -
Citus ⇄ Supabase -
Citus ⇄ MySQL -
Citus ⇄ MariaDB -
Redis Enterprise ⇄ Azure SQL Database -
Redis Enterprise ⇄ Couchbase -
Redis Enterprise ⇄ DuckDB -
Redis Enterprise ⇄ Elasticsearch
No integrations match .
