Two-way sync
Changes in Box or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Box and Cloudera Data Platform in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Cloudera Data Platform 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 Cloudera Data Platform, or a result in Cloudera Data Platform 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 Kudu tables, Iceberg tables, Views, Partitions in Cloudera Data Platform with Users, Groups, Tasks, Events 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.
The catalog of documents, owners, and folders in Box appears as Kudu tables, Iceberg tables, Views, Partitions in Cloudera Data Platform, so file metadata can be joined against the rest of your data and reported on.
Classifications, scores, or status derived in Cloudera Data Platform are written back onto the matching Users, Groups, Tasks, Events in Box as metadata or tags, so the file store reflects what analytics decided.
Files and exports that arrive in Box are parsed into Kudu tables, Iceberg tables, Views, Partitions in Cloudera Data Platform as they land, so analysts query current data instead of waiting on the next scheduled load.
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 | Cloudera Data Platform objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Events is specific to Box and Kudu tables to Cloudera Data Platform — each maps to any object or custom field on the other side. | |
| Files Core content object with versions, name, size, and metadata; synced two-way so files and their attributes move between Box and a database or another store. | Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Files is specific to Box and Iceberg tables to Cloudera Data Platform — each maps to any object or custom field on the other side. | |
| Folders Hierarchical containers whose tree, names, and parent moves are mirrored so a target system reflects Box's structure; the account root is always folder ID 0. | Views SQL views that can present curated, sync-ready projections of raw lake data. | Folders is specific to Box and Views to Cloudera Data Platform — each maps to any object or custom field on the other side. | |
| Metadata Structured key-value instances attached to files and folders via metadata templates; synced two-way with database columns for classification and search. | Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Metadata is specific to Box and Partitions to Cloudera Data Platform — 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. | Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Collaborations is specific to Box and Object store / HDFS files to Cloudera Data Platform — 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. | Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Users is specific to Box and Databases to Cloudera Data Platform — 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 Cloudera Data Platform as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
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–Cloudera Data Platform connection.
Changes in Box or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Box or Cloudera Data Platform 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 Cloudera Data Platform record.
Track your Box ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Box and Cloudera Data Platform.
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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as Box's Events and Files), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Box and Cloudera Data Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Box–Cloudera Data Platform integration in-house.
Yes — Stacksync ships production-grade connectors for both Box and Cloudera Data Platform. 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 Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Cloudera Data Platform side: Kudu tables, Iceberg tables, Views, Partitions, plus custom fields where Cloudera Data Platform exposes them. On the Box side: Users, Groups, Tasks, Events. 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.
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 427 integrations available for Box and Cloudera Data Platform.