Two-way sync
Changes in Box or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Box and Neo4j in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
A database holds structured records; a storage system holds the files those records depend on, such as contracts, images, exports, uploads, and documents. The two describe the same things from opposite sides: a row in Neo4j says a file exists and carries its name, location, and status, while Box holds the bytes. Linked only by a hand-kept path or a one-off script, the two drift the moment a file is renamed, moved, or deleted and the record still points at where it used to be.
Stacksync syncs Users & Roles, Nodes, Relationships, Properties in Neo4j with Collaborations, Users, Groups, Tasks in Box bi-directionally and in real time. File attributes, including name, path or object key, size, type, modified time, owner, and tags or custom properties, map field by field to columns on the matching row, and a change on either side shows up on the other within seconds. New files appear as rows, metadata edits travel in the direction you choose, and deletes stay consistent, with conflict rules you set in place of nightly reconciliation scripts.
Where a record in Neo4j references a file in Box, such as a contract, an image, an export, or an upload, the reference, path, and status stay consistent as files are renamed, moved, or replaced, so stored links keep resolving.
Files that arrive in a folder or bucket in Box become rows in Neo4j as they land, so a database-driven process can pick them up without polling the storage system's API.
Rows from Neo4j are written out to Box as files on a schedule or as they change, giving a durable, low-cost copy for backup, compliance, or a data lake, without a custom export job to maintain.
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 | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Users Managed and app users in the enterprise; provisioned, updated, and deprovisioned to keep Box access aligned with an HR or identity source. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Users is specific to Box and Nodes to Neo4j — 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. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Groups is specific to Box and Relationships to Neo4j — 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. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Tasks is specific to Box and Properties to Neo4j — 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. | Labels Node type markers used to map source tables or objects onto the graph. | Events is specific to Box and Labels to Neo4j — 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. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Files is specific to Box and Indexes & Constraints to Neo4j — 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. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Folders is specific to Box and Databases to Neo4j — 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 written to Neo4j through its API, with automatic retries and rate-limit backoff.
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
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–Neo4j connection.
Changes in Box or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Box or Neo4j 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 Neo4j record.
Track your Box ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Box and Neo4j.
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 Neo4j 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 Neo4j 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 Neo4j: authenticate both systems, choose the objects to sync (such as Box's Users and Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Neo4j: Records that point at documents; A landing zone for incoming files; Continuous archival to file storage. Where a record in Neo4j references a file in Box, such as a contract, an image, an export, or an upload, the reference, path, and status stay consistent as files are renamed, moved, or replaced, so stored links keep resolving.
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. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
Neo4j: Schema is optional, but uniqueness constraints and indexes are the standard way to make keyed syncs deterministic. 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 Neo4j 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 Neo4j records are not retained after a sync operation.
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 508 integrations available for Box and Neo4j.