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Database ⇄ Storage

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

Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Box

Keep AWS Aurora PostgreSQL and Box in step: a row in AWS Aurora PostgreSQL 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 PostgreSQL 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 Foreign keys, Replication slots and publications, Databases and schemas, Tables in AWS Aurora PostgreSQL with Events, Files, Folders, Metadata 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 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • 02 Feed operational dashboards from a read replica while the writer handles sync traffic.
  • 03 Mirror Metadata template instances on Files into database columns so contracts and assets are searchable and reportable alongside other business data.
  • 04 Provision and deprovision Users, Groups, and Collaborations from an HR system or IdP so Box access follows onboarding and offboarding.

Common sync patterns

Records that point at documents

Where a record in AWS Aurora PostgreSQL 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.

A landing zone for incoming files

Files that arrive in a folder or bucket in Box become rows in AWS Aurora PostgreSQL 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 PostgreSQL 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.

What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects Box objects How this pairing syncs
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Tasks Review or approval assignments on a file with due dates and states; read for workflow reporting or written to start approvals. Views and materialized views is specific to AWS Aurora PostgreSQL and Tasks to Box — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. 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. Foreign keys is specific to AWS Aurora PostgreSQL and Events to Box — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. 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. Replication slots and publications is specific to AWS Aurora PostgreSQL and Files to Box — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. 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 and schemas is specific to AWS Aurora PostgreSQL and Folders to Box — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. 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 AWS Aurora PostgreSQL and Metadata to Box — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional 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. Rows is specific to AWS Aurora PostgreSQL and Collaborations to Box — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL Box Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

Box AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ Box

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL or Box record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Box.

How the AWS Aurora PostgreSQL and Box connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL connected
    Box connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora PostgreSQL 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 443 integrations available for AWS Aurora PostgreSQL and Box.

Popular · 7 of 443
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