Real-time
Two-way sync
Changes in ClickHouse or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
ClickHouse to Elasticsearch integration — real-time, two-way sync
Keep ClickHouse and Elasticsearch 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
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Why teams connect ClickHouse and Elasticsearch
Connect Elasticsearch 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 Elasticsearch'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 Elasticsearch where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Elasticsearch sync into ClickHouse in real time, and result tables in ClickHouse sync back into Elasticsearch, 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.
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
Serve warehouse results at database speed
Aggregates or model outputs computed in ClickHouse sync into Elasticsearch, where whatever reads from that database gets them without querying the warehouse.
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 Elasticsearch focused on its operational workload.
What you can sync between ClickHouse and Elasticsearch
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 | Elasticsearch objects | |
|---|---|---|
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | |
| Views Saved queries used as curated, read-only sync sources. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Data streams Append-only targets for time-series or event data pushed from source systems. |
What ships with ClickHouse ⇄ Elasticsearch
Connect ClickHouse and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever ClickHouse or Elasticsearch 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 Elasticsearch record.
Observability
Monitoring
Track your ClickHouse ⇄ Elasticsearch 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 Elasticsearch.
How the ClickHouse and Elasticsearch 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
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
How it works
How to connect ClickHouse to Elasticsearch — 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.
- 01
Connect your apps
Authenticate ClickHouse and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
ClickHouse
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the ClickHouse and Elasticsearch 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.
objects · ClickHouse ⇄ ElasticsearchCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
ClickHouse ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
ClickHouse and Elasticsearch integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between ClickHouse and Elasticsearch: 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.
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Yes — Stacksync ships production-grade connectors for both ClickHouse and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection 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. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the ClickHouse side: Databases, Views, Materialized views, Distributed tables, plus custom fields where ClickHouse exposes them. On the Elasticsearch side: Documents, Index mappings, Aliases, Data streams. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for ClickHouse and Elasticsearch: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in ClickHouse sync into Elasticsearch, where whatever reads from that database gets them without querying the warehouse.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for ClickHouse and Elasticsearch.
Popular · 8 of 386
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ClickHouse ⇄ CockroachDB -
ClickHouse ⇄ Google AlloyDB -
ClickHouse ⇄ Dynamo DB -
ClickHouse ⇄ IBM Db2 -
Elasticsearch ⇄ MotherDuck -
Elasticsearch ⇄ Databricks -
Elasticsearch ⇄ AWS S3 -
Elasticsearch ⇄ Actian Vector
No integrations match .
