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Database ⇄ Storage

Amazon Aurora to Box integration — real-time, two-way sync

Keep Amazon Aurora 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Aurora and Box

Keep Amazon Aurora and Box in step: a row in Amazon Aurora for every file in Box, with names, paths, metadata, and status staying consistent in real time, in both directions.

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 Amazon Aurora 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 Databases, Schemas, Tables, Views in Amazon Aurora 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.

Common use cases

  • 01 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • 02 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.
  • 03 Provision and deprovision Users, Groups, and Collaborations from an HR system or IdP so Box access follows onboarding and offboarding.
  • 04 Push generated documents from an ERP or contract system into Box Folders with the right Collaborations applied for the deal team.

Common sync patterns

A queryable index of the file store

Every file or object in Box shows up as a row in Amazon Aurora, with its name, folder or key, size, type, and modified date as columns, so the contents of the store can be listed, filtered, and joined like any other table.

File metadata kept in step

Tags, custom properties, owner, or status columns edited on a row in Amazon Aurora write back to the matching file's metadata in Box, and metadata changed in Box updates the row, so the two never disagree about a file.

Records that point at documents

Where a record in Amazon Aurora 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.

What you can sync between Amazon Aurora and Box

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.

Amazon Aurora objects Box objects How this pairing syncs
Databases Logical databases within a cluster that scope a sync connection. 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. Databases is specific to Amazon Aurora and Files to Box — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. 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. Schemas is specific to Amazon Aurora and Folders to Box — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. Metadata Structured key-value instances attached to files and folders via metadata templates; synced two-way with database columns for classification and search. Tables is specific to Amazon Aurora and Metadata to Box — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. 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 is specific to Amazon Aurora and Collaborations to Box — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. 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 is specific to Amazon Aurora and Users to Box — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Groups Named user collections used for bulk collaboration; membership synced from a directory or IdP. Columns and Data Types is specific to Amazon Aurora and Groups to Box — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Box

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.

Amazon Aurora Box Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

DeliveryEach detected change is written to Box through its API, with automatic retries and rate-limit backoff.

Box Amazon Aurora Sub-second propagation

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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • Box: Per user: 1,000 API calls per minute and 240 file uploads per minute; exceeding limits returns HTTP 429 with a Retry-After header. Box Business plans also carry a licensed monthly API-call allotment per enterprise.
What ships with Amazon Aurora ⇄ Box

Connect Amazon Aurora and Box for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Box connection.

Real-time

Two-way sync

Changes in Amazon Aurora or Box instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Box data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Amazon Aurora or Box record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Box sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Box.

How the Amazon Aurora and Box connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

Box

Integration surface
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
Change detection
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
Capabilities
read · write · webhooks
Rate limits
Per user: 1,000 API calls per minute and 240 file uploads per minute; exceeding limits returns HTTP 429 with a Retry-After header. Box Business plans also carry a licensed monthly API-call allotment per enterprise.
How it works

How to connect Amazon Aurora to Box — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Amazon Aurora 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Aurora connected
    Box connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Aurora ⇄ Box
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon Aurora Box
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Box integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 425 integrations available for Amazon Aurora and Box.

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