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Data warehouse ⇄ Database

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

Keep ClickHouse and RavenDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect ClickHouse and RavenDB

Connect RavenDB and ClickHouse with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want RavenDB'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 RavenDB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in RavenDB sync into ClickHouse in real time, and result tables in ClickHouse sync back into RavenDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
  • Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • Sync operational documents such as orders and profiles between RavenDB and a CRM so business teams see application data.
  • Mirror reference data from relational systems into RavenDB collections that serve application reads.

Offload heavy reads

Point analytical queries at the synced copy in ClickHouse and keep RavenDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from RavenDB land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in ClickHouse sync into RavenDB, where whatever reads from that database gets them without querying the warehouse.

What you can sync between ClickHouse and RavenDB

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 RavenDB objects
Databases Namespaces that group tables and scope permissions for sync users. Revisions Historical versions of documents, useful for audit-oriented replication
Views Saved queries used as curated, read-only sync sources. Counters Numeric values attached to documents that change independently of the document body
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Time series Timestamped measurements stored per document, synced for metrics analysis
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Data subscriptions Server-side change feeds that push matching documents to consumers
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Documents JSON records, the primary unit read and written during sync
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Collections Groupings of documents by type, mapped to tables in relational targets
What ships with ClickHouse ⇄ RavenDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse or RavenDB 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 RavenDB record.

Observability

Monitoring

Track your ClickHouse ⇄ RavenDB 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 RavenDB.

How the ClickHouse and RavenDB 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

RavenDB

Integration surface
HTTP REST API with official clients (.NET, Java, Node.js, Python, and others)
Authentication
X.509 client certificates on secured servers, instead of username and password
Change detection
data subscriptions and the Changes API provide server-pushed change feeds
Capabilities
read · write · CDC
Rate limits
throughput bounded by cluster resources rather than API quotas
How it works

How to connect ClickHouse to RavenDB — 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 RavenDB 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
    RavenDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the ClickHouse and RavenDB 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 ⇄ RavenDB
    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 RavenDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

ClickHouse and RavenDB 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 RavenDB.

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