Two-way sync
Changes in ClickHouse or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep ClickHouse 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Redis Enterprise's rows in ClickHouse, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Redis Enterprise where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Redis Enterprise sync into ClickHouse in real time, and result tables in ClickHouse sync back into Redis Enterprise, with schema and type mapping between the two systems handled for you.
Rows from Redis Enterprise land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in ClickHouse sync into Redis Enterprise, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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.
| ClickHouse objects | Redis Enterprise objects | |
|---|---|---|
| Views Saved queries used as curated, read-only sync sources. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Lists Ordered sequences often used as lightweight queues fed by sync events. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Redis Enterprise connection.
Changes in ClickHouse or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever ClickHouse or Redis Enterprise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single ClickHouse or Redis Enterprise record.
Track your ClickHouse ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between ClickHouse and Redis Enterprise.
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 ClickHouse 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.
Pick the ClickHouse 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.
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 ClickHouse and Redis Enterprise: authenticate both systems, choose the objects to sync (such as ClickHouse's Views and Materialized views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the ClickHouse side: Dictionaries, Tables (MergeTree family), Databases, Views, plus custom fields where ClickHouse exposes them. On the Redis Enterprise side: Lists, Streams, Pub/Sub channels, Search indexes. 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 ClickHouse and Redis Enterprise: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Redis Enterprise land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.
ClickHouse: Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available. Authentication: Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS. 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.
ClickHouse: Updates and deletes are asynchronous mutations that rewrite data parts, so syncs into ClickHouse favor append-and-deduplicate patterns (for example ReplacingMergeTree) over row-level upserts. Redis Enterprise: Redis Enterprise adds clustering, tiered storage, and Active-Active geo-replication (CRDT-based) on top of open-source Redis. Stacksync's field mapping accounts for these differences between ClickHouse and Redis Enterprise without custom code.
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 ClickHouse and Redis Enterprise.