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Database ⇄ Storage

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

Keep AWS Aurora MySQL 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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Why teams connect AWS Aurora MySQL and Box

Keep AWS Aurora MySQL and Box in step: a row in AWS Aurora MySQL 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 AWS Aurora MySQL 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, Rows, Columns in AWS Aurora MySQL with Users, Groups, Tasks, Events 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 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 02 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 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 landing zone for incoming files

Files that arrive in a folder or bucket in Box become rows in AWS Aurora MySQL as they land, so a database-driven process can pick them up without polling the storage system's API.

Continuous archival to file storage

Rows from AWS Aurora MySQL 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.

A queryable index of the file store

Every file or object in Box shows up as a row in AWS Aurora MySQL, 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.

What you can sync between AWS Aurora MySQL 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.

AWS Aurora MySQL objects Box objects How this pairing syncs
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Users Managed and app users in the enterprise; provisioned, updated, and deprovisioned to keep Box access aligned with an HR or identity source. Tables is specific to AWS Aurora MySQL and Users to Box — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Groups Named user collections used for bulk collaboration; membership synced from a directory or IdP. Rows is specific to AWS Aurora MySQL and Groups to Box — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Tasks Review or approval assignments on a file with due dates and states; read for workflow reporting or written to start approvals. Columns is specific to AWS Aurora MySQL and Tasks to Box — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. 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. Primary keys and indexes is specific to AWS Aurora MySQL and Events to Box — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. 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. Views is specific to AWS Aurora MySQL and Files to Box — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. 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. Foreign keys is specific to AWS Aurora MySQL and Folders to Box — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL 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.

AWS Aurora MySQL Box Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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

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

Rate-limit considerations

  • 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 AWS Aurora MySQL ⇄ Box

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Box record.

Observability

Monitoring

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

Trading partners

EDI

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

How the AWS Aurora MySQL and Box connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

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 AWS Aurora MySQL 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 AWS Aurora MySQL 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
    AWS Aurora MySQL connected
    Box connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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 · AWS Aurora MySQL ⇄ 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
    AWS Aurora MySQL Box
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL 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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→ SECURITY WITH BENEFITS

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 441 integrations available for AWS Aurora MySQL and Box.

Popular · 7 of 441
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