Two-way sync
Changes in Apache Hive or Box instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Hive and Box in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Apache Hive 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 Apache Hive, or a result in Apache Hive 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 ACID Tables, Metastore Catalog, Databases, Managed Tables in Apache Hive with Metadata, Collaborations, Users, Groups 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.
Curated tables and query results from Apache Hive are written to Box as files the rest of the business can open, keeping the shared copy current without a hand-run export.
Where the same dataset lives as a file in Box and a table in Apache Hive, 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 ACID Tables, Metastore Catalog, Databases, Managed Tables in Apache Hive, so file metadata can be joined against the rest of your data and reported on.
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.
| Apache Hive objects | Box objects | How this pairing syncs | |
|---|---|---|---|
| Views Logical views readable as modeled sources. | Tasks Review or approval assignments on a file with due dates and states; read for workflow reporting or written to start approvals. | Views is specific to Apache Hive and Tasks to Box — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results available in newer Hive versions for faster reads. | 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. | Materialized Views is specific to Apache Hive and Events to Box — each maps to any object or custom field on the other side. | |
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | 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. | ACID Tables is specific to Apache Hive and Files to Box — each maps to any object or custom field on the other side. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | 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. | Metastore Catalog is specific to Apache Hive and Folders to Box — each maps to any object or custom field on the other side. | |
| Databases Metastore namespaces that scope tables and grants. | Metadata Structured key-value instances attached to files and folders via metadata templates; synced two-way with database columns for classification and search. | Databases is specific to Apache Hive and Metadata to Box — each maps to any object or custom field on the other side. | |
| Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. | 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. | Managed Tables is specific to Apache Hive and Collaborations to Box — 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.
DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.
DeliveryEach detected change is written to Box through its API, with automatic retries and rate-limit backoff.
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 Apache Hive as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Box connection.
Changes in Apache Hive or Box instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive or Box data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Hive or Box record.
Track your Apache Hive ⇄ Box sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive and Box.
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 Apache Hive and Box 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 Apache Hive and Box 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 Apache Hive and Box: authenticate both systems, choose the objects to sync (such as Apache Hive's Views and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Hive: Polling on partition values or timestamp columns; no general-purpose change log for external consumers. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apache Hive side: ACID Tables, Metastore Catalog, Databases, Managed Tables, plus custom fields where Apache Hive exposes them. On the Box side: Metadata, Collaborations, Users, Groups. 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 Apache Hive and Box: Where Box is the shared drive: publish results back as files; One dataset, kept consistent both ways; Where Box holds the file inventory: make it queryable. Curated tables and query results from Apache Hive are written to Box as files the rest of the business can open, keeping the shared copy current without a hand-run export.
Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. Box: REST API (api.box.com/2.0), plus the Events API and V2 Webhooks. Authentication: OAuth 2.0 for user-delegated access, or server-to-server auth via JWT (RSA keypair) or Client Credentials Grant (CCG) using a Box app; short-lived developer tokens for testing. 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 431 integrations available for Apache Hive and Box.