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Data warehouse ⇄ Database

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

Keep ClickHouse and OpenSearch 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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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect ClickHouse and OpenSearch

Connect OpenSearch 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 OpenSearch'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 OpenSearch where the services that read from it get them at normal query latency.

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

Common use cases

  • Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
  • Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.
  • Index support tickets and activity logs from SaaS tools for operational dashboards.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

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

Operational data in the warehouse, minus the pipeline

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

What you can sync between ClickHouse and OpenSearch

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 OpenSearch objects
Databases Namespaces that group tables and scope permissions for sync users. Documents JSON records written via the index and bulk APIs and read via search queries
Views Saved queries used as curated, read-only sync sources. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Index templates Mapping and settings presets applied to new indexes a sync creates
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Ingest pipelines Server-side processors that transform documents as they are written
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Data streams Append-oriented time-series storage for logs and events pushed from source systems
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Snapshots Backup artifacts, relevant when reseeding an index from a repository
What ships with ClickHouse ⇄ OpenSearch

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse or OpenSearch 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 OpenSearch record.

Observability

Monitoring

Track your ClickHouse ⇄ OpenSearch 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 OpenSearch.

How the ClickHouse and OpenSearch 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

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas
How it works

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

    Choose tables

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

ClickHouse and OpenSearch 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 OpenSearch.

Popular · 8 of 386
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