Two-way sync
Changes in Box or ClickHouse instantly reflect in both systems. No stale data, no manual imports.
Keep Box 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.
ClickHouse keeps the tables and query results a business reports on; Box keeps the raw files, documents, and objects that the same business produces and shares. The two overlap wherever a dataset lives as both — a file dropped in Box that has to become rows in ClickHouse, or a result in ClickHouse that people downstream need back as a file in Box. When that overlap is bridged by manual export and import or an overnight job, one side spends the day working from a stale copy.
Stacksync syncs Materialized views, Distributed tables, Dictionaries, Tables (MergeTree family) in ClickHouse with Files, Folders, Metadata, Collaborations in Box field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Where the same dataset lives as a file in Box and a table in ClickHouse, a change on either side propagates to the other, ending the drift between the file people read and the table people query.
The catalog of documents, owners, and folders in Box appears as Materialized views, Distributed tables, Dictionaries, Tables (MergeTree family) in ClickHouse, so file metadata can be joined against the rest of your data and reported on.
Classifications, scores, or status derived in ClickHouse are written back onto the matching Files, Folders, Metadata, Collaborations in Box as metadata or tags, so the file store reflects what analytics decided.
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.
| Box objects | ClickHouse objects | How this pairing syncs | |
|---|---|---|---|
| Metadata Structured key-value instances attached to files and folders via metadata templates; synced two-way with database columns for classification and search. | Databases Namespaces that group tables and scope permissions for sync users. | Metadata is specific to Box and Databases to ClickHouse — each maps to any object or custom field on the other side. | |
| Collaborations Access grants linking a user or group to a file or folder with a role such as viewer, editor, or co-owner; written to manage sharing programmatically. | Views Saved queries used as curated, read-only sync sources. | Collaborations is specific to Box and Views to ClickHouse — each maps to any object or custom field on the other side. | |
| Users Managed and app users in the enterprise; provisioned, updated, and deprovisioned to keep Box access aligned with an HR or identity source. | Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Users is specific to Box and Materialized views to ClickHouse — each maps to any object or custom field on the other side. | |
| Groups Named user collections used for bulk collaboration; membership synced from a directory or IdP. | Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Groups is specific to Box and Distributed tables to ClickHouse — each maps to any object or custom field on the other side. | |
| Tasks Review or approval assignments on a file with due dates and states; read for workflow reporting or written to start approvals. | Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Tasks is specific to Box and Dictionaries to ClickHouse — each maps to any object or custom field on the other side. | |
| Events Enterprise admin event stream, an audit log of uploads, deletes, logins, and shares across the account; read-only, consumed for reporting or change feeds. | Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Events is specific to Box and Tables (MergeTree family) to ClickHouse — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionBox notifies Stacksync of record changes through webhook events. V2 webhooks fire on triggers such as FILE.UPLOADED, FILE.TRASHED, and METADATA_INSTANCE.UPDATED.
DeliveryEach detected change is applied to ClickHouse as a row-level write, with types converted between the two schemas.
DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
DeliveryEach detected change is written to Box through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Box–ClickHouse connection.
Changes in Box or ClickHouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Box 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 Box or ClickHouse record.
Track your Box ⇄ ClickHouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Box 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 Box 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 Box 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 Box and ClickHouse: authenticate both systems, choose the objects to sync (such as Box's Metadata and Collaborations), map fields visually, and changes propagate both ways in milliseconds — no code required.
ClickHouse: Updates and deletes are asynchronous mutations that rewrite data parts, so syncs into ClickHouse favor append-and-deduplicate patterns (for example ReplacingMergeTree) over row-level upserts. Box: Server-auth apps (JWT or CCG) act through a service account and only see content that account owns or is collaborated on, unless enterprise as-user or admin scopes are granted. Stacksync's field mapping accounts for these differences between Box and ClickHouse without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Box and ClickHouse records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Box and ClickHouse connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Box–ClickHouse integration in-house.
Yes — Stacksync ships production-grade connectors for both Box and ClickHouse. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Box: V2 webhooks fire on triggers such as FILE.UPLOADED, FILE.TRASHED, and METADATA_INSTANCE.UPDATED; the Events API (user stream via long-poll by stream_position, or enterprise/admin events) provides a near-real-time change feed. 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.
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 531 integrations available for Box and ClickHouse.