Two-way sync
Changes in ClickHouse or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Keep ClickHouse and Cloudera Data Platform in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between ClickHouse and Cloudera Data Platform continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
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 | Cloudera Data Platform objects | |
|---|---|---|
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Views SQL views that can present curated, sync-ready projections of raw lake data. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | |
| Views Saved queries used as curated, read-only sync sources. | Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Cloudera Data Platform connection.
Changes in ClickHouse or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever ClickHouse or Cloudera Data Platform 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 Cloudera Data Platform record.
Track your ClickHouse ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between ClickHouse and Cloudera Data Platform.
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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as ClickHouse's Distributed tables and Dictionaries), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Cloudera Data Platform: Migration without a big bang; Serve tools that only connect to one platform; Shared datasets across teams. When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
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. Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Stacksync manages authentication, retries, and rate limits on both sides.
ClickHouse: It exposes both a native TCP protocol and an HTTP interface, and can additionally speak MySQL and PostgreSQL wire protocols for compatibility with existing drivers. Cloudera Data Platform: Tables can live in multiple storage engines with different update semantics: Kudu and Iceberg tables support row-level updates, while classic Hive tables are append-oriented. Stacksync's field mapping accounts for these differences between ClickHouse and Cloudera Data Platform without custom code.
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 ClickHouse and Cloudera Data Platform records are not retained after a sync operation.
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 Cloudera Data Platform.