Two-way sync
Changes in Airtable or ClickHouse instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and ClickHouse in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Airtable'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 Airtable where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Airtable sync into ClickHouse in real time, and result tables in ClickHouse sync back into Airtable, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in ClickHouse and keep Airtable focused on its operational workload.
Rows from Airtable land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.
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.
| Airtable objects | ClickHouse objects | |
|---|---|---|
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | |
| Bases Top-level containers; each base has its own API endpoint and schema. | Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Databases Namespaces that group tables and scope permissions for sync users. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Views Saved queries used as curated, read-only sync sources. | |
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Distributed tables Query-routing tables over cluster shards in self-managed deployments. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–ClickHouse connection.
Changes in Airtable or ClickHouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or ClickHouse data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or ClickHouse record.
Track your Airtable ⇄ ClickHouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and ClickHouse.
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.
Authenticate Airtable and ClickHouse with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Airtable and ClickHouse 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Airtable and ClickHouse: authenticate both systems, choose the objects to sync (such as Airtable's Collaborators and Bases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Airtable: Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the ClickHouse side: Distributed tables, Dictionaries, Tables (MergeTree family), Databases, plus custom fields where ClickHouse exposes them. On the Airtable side: Views, Linked records, Attachments, Collaborators. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Airtable and ClickHouse: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Airtable: REST API (per-base Web API plus metadata and webhooks endpoints). Authentication: OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks. ClickHouse: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Airtable and ClickHouse.