Real-time
Two-way sync
Changes in ClickHouse or InfluxDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
ClickHouse to InfluxDB integration — real-time, two-way sync
Keep ClickHouse and InfluxDB 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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Migrated from Celigo
Why teams connect ClickHouse and InfluxDB
Connect InfluxDB 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 InfluxDB'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 InfluxDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in InfluxDB sync into ClickHouse in real time, and result tables in ClickHouse sync back into InfluxDB, with schema and type mapping between the two systems handled for you.
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.
- Replicate downsampled aggregates into a data warehouse for long-term BI beyond retention windows.
- Feed alert-relevant thresholds and asset metadata from business systems into InfluxDB tags for richer queries.
Offload heavy reads
Point analytical queries at the synced copy in ClickHouse and keep InfluxDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from InfluxDB 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 InfluxDB, where whatever reads from that database gets them without querying the warehouse.
What you can sync between ClickHouse and InfluxDB
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 | InfluxDB objects | |
|---|---|---|
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Retention policies Automatic expiry rules that determine how long synced history remains queryable. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Buckets / databases Named containers with retention settings that scope reads and writes. | |
| Views Saved queries used as curated, read-only sync sources. | Measurements The table-like grouping for points, typically mapped to a synced dataset. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Points Individual time-stamped records, the unit of write via line protocol. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Tags Indexed key-value metadata used for filtering and as sync partition keys. |
What ships with ClickHouse ⇄ InfluxDB
Connect ClickHouse and InfluxDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–InfluxDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever ClickHouse or InfluxDB 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 InfluxDB record.
Observability
Monitoring
Track your ClickHouse ⇄ InfluxDB 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 InfluxDB.
How the ClickHouse and InfluxDB 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
InfluxDB
- Integration surface
- REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
- Authentication
- API token
- Change detection
- Polling with time-range queries; data is timestamped, so incremental reads use time cursors
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
How it works
How to connect ClickHouse to InfluxDB — 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 InfluxDB 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
InfluxDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the ClickHouse and InfluxDB 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 ⇄ InfluxDBCustomers 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 InfluxDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
ClickHouse and InfluxDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between ClickHouse and InfluxDB: authenticate both systems, choose the objects to sync (such as ClickHouse's Dictionaries and Tables (MergeTree family)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed ClickHouse and InfluxDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom ClickHouse–InfluxDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both ClickHouse and InfluxDB. 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 InfluxDB: Polling with time-range queries; data is timestamped, so incremental reads use time cursors. 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: Distributed tables, Dictionaries, Tables (MergeTree family), Databases, plus custom fields where ClickHouse exposes them. On the InfluxDB side: Retention policies, Organizations, Buckets / databases, Measurements. 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.
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 InfluxDB.
Popular · 8 of 386
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ClickHouse ⇄ Google AlloyDB -
ClickHouse ⇄ Dynamo DB -
ClickHouse ⇄ IBM Db2 -
ClickHouse ⇄ Firebase -
InfluxDB ⇄ AWS S3 -
InfluxDB ⇄ Actian Vector -
InfluxDB ⇄ Amazon Redshift -
InfluxDB ⇄ Apache Doris
No integrations match .
