Two-way sync
Changes in Apache Cassandra or ClickHouse instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and ClickHouse 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 Apache Cassandra'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 Apache Cassandra where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Apache Cassandra sync into ClickHouse in real time, and result tables in ClickHouse sync back into Apache Cassandra, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in ClickHouse sync into Apache Cassandra, 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.
Point analytical queries at the synced copy in ClickHouse and keep Apache Cassandra focused on its operational workload.
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.
| Apache Cassandra objects | ClickHouse objects | |
|---|---|---|
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Databases Namespaces that group tables and scope permissions for sync users. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Views Saved queries used as curated, read-only sync sources. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Distributed tables Query-routing tables over cluster shards in self-managed deployments. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–ClickHouse connection.
Changes in Apache Cassandra or ClickHouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or ClickHouse data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Cassandra or ClickHouse record.
Track your Apache Cassandra ⇄ ClickHouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and ClickHouse.
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 Apache Cassandra and ClickHouse 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 Apache Cassandra and ClickHouse 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 Apache Cassandra and ClickHouse: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Keyspaces and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and ClickHouse connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–ClickHouse integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and ClickHouse. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On ClickHouse: No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the ClickHouse side: Materialized views, Distributed tables, Dictionaries, Tables (MergeTree family), plus custom fields where ClickHouse exposes them. On the Apache Cassandra side: Materialized Views, Secondary Indexes, User-Defined Types, Collections. 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.
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 Apache Cassandra and ClickHouse.