Two-way sync
Changes in Redis Enterprise or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Redis Enterprise and TimescaleDB 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 Redis Enterprise and TimescaleDB 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.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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.
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.
| Redis Enterprise objects | TimescaleDB objects | |
|---|---|---|
| Lists Ordered sequences often used as lightweight queues fed by sync events. | Views Standard SQL views used to shape or filter data for consumers. | |
| Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Redis Enterprise–TimescaleDB connection.
Changes in Redis Enterprise or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Redis Enterprise or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Redis Enterprise or TimescaleDB record.
Track your Redis Enterprise ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Redis Enterprise and TimescaleDB.
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 Redis Enterprise and TimescaleDB 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 Redis Enterprise and TimescaleDB 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 Redis Enterprise and TimescaleDB: authenticate both systems, choose the objects to sync (such as Redis Enterprise's Lists and Streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Redis Enterprise side: Keys (Strings), Hashes, JSON documents, Sets, plus custom fields where Redis Enterprise exposes them. On the TimescaleDB side: Views, Schemas, Hypertables, Chunks. 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 Redis Enterprise and TimescaleDB: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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 Redis Enterprise and TimescaleDB.