Skip to content
Data warehouse

ClickHouse to Rockset integration — real-time, two-way sync

Keep ClickHouse and Rockset 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 ClickHouse and Rockset

Keep tables consistent across ClickHouse and Rockset, for a migration, a multi-warehouse stack, or a dataset two platforms both need.

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 Rockset 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.

Common use cases

  • Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.
  • Read query results back into an operational database to expose computed metrics to applications.

Consolidation after M&A

Bring the acquired company's warehouse data across continuously instead of through one-off dumps.

Migration without a big bang

When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.

Serve tools that only connect to one platform

Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.

What you can sync between ClickHouse and Rockset

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 Rockset objects
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Aliases Stable names that point at collections, used to swap datasets without changing queries.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Integrations Managed source connections (databases, streams, object storage) feeding collections.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Virtual Instances Isolated compute units that separate ingest from query workloads.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Collections Schemaless document containers that ingested and synced records land in.
Databases Namespaces that group tables and scope permissions for sync users. Documents JSON records addressable by _id, written via the Write API in sync pipelines.
Views Saved queries used as curated, read-only sync sources. Workspaces Namespaces that group collections and query lambdas per team or environment.
What ships with ClickHouse ⇄ Rockset

Connect ClickHouse and Rockset for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Rockset connection.

Real-time

Two-way sync

Changes in ClickHouse or Rockset instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse or Rockset 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 ClickHouse or Rockset record.

Observability

Monitoring

Track your ClickHouse ⇄ Rockset sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between ClickHouse and Rockset.

How the ClickHouse and Rockset connectors work

ClickHouse

Integration surface
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
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write

Rockset

Integration surface
REST API (SQL over HTTP, plus a document Write API)
Authentication
API key
Change detection
Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
Capabilities
read · write
How it works

How to connect ClickHouse to Rockset — 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.

  1. 01

    Connect your apps

    Authenticate ClickHouse and Rockset with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    ClickHouse connected
    Rockset connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the ClickHouse and Rockset 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · ClickHouse ⇄ Rockset
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    ClickHouse Rockset
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

ClickHouse and Rockset integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for ClickHouse and Rockset.

Popular · 8 of 386
All ClickHouse integrations All Rockset integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own