Two-way sync
Changes in Box or Dremio instantly reflect in both systems. No stale data, no manual imports.
Keep Box and Dremio in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Dremio 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 Dremio, or a result in Dremio 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 Apache Iceberg tables, Spaces and folders, Reflections, Jobs in Dremio with Events, Files, Folders, Metadata 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.
Classifications, scores, or status derived in Dremio are written back onto the matching Events, Files, Folders, Metadata in Box as metadata or tags, so the file store reflects what analytics decided.
Files and exports that arrive in Box are parsed into Apache Iceberg tables, Spaces and folders, Reflections, Jobs in Dremio as they land, so analysts query current data instead of waiting on the next scheduled load.
Curated tables and query results from Dremio are written to Box as files the rest of the business can open, keeping the shared copy current without a hand-run export.
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 | Dremio objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Folders is specific to Box and Sources to Dremio — 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. | Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Metadata is specific to Box and Physical datasets to Dremio — 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. | Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Collaborations is specific to Box and Virtual datasets (views) to Dremio — 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. | Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Users is specific to Box and Apache Iceberg tables to Dremio — 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. | Spaces and folders Namespaces that organize virtual datasets and govern access. | Groups is specific to Box and Spaces and folders to Dremio — 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. | Reflections Materialized accelerations that make repeated extraction queries cheaper. | Tasks is specific to Box and Reflections to Dremio — 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 Dremio as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
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–Dremio connection.
Changes in Box or Dremio instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Box or Dremio 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 Dremio record.
Track your Box ⇄ Dremio sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Box and Dremio.
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 Dremio 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 Dremio 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 Dremio: authenticate both systems, choose the objects to sync (such as Box's Folders and Metadata), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Dremio side: Apache Iceberg tables, Spaces and folders, Reflections, Jobs, plus custom fields where Dremio exposes them. On the Box side: Events, Files, Folders, Metadata. 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 Box and Dremio: Where Dremio computes the labels: push them onto the files; Where Box receives the raw files: land them as query-ready rows; Where Box is the shared drive: publish results back as files. Classifications, scores, or status derived in Dremio are written back onto the matching Events, Files, Folders, Metadata in Box as metadata or tags, so the file store reflects what analytics decided.
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. Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Stacksync manages authentication, retries, and rate limits on both sides.
Dremio: Dremio queries data in place on lake storage (S3, ADLS, HDFS) rather than ingesting it, so syncs read through Dremio to underlying files and Iceberg tables. Box: The user Events API is consumed with a stream_position and long-polling; enterprise/admin events retain roughly one year of history and can lag strict ordering for near-real-time reads. Stacksync's field mapping accounts for these differences between Box and Dremio without custom code.
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.
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Every pair below is a real-time, two-way sync. Search all 425 integrations available for Box and Dremio.