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Database ⇄ Storage

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

Keep AWS Aurora MySQL and Egnyte 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 Egnyte

Keep AWS Aurora MySQL and Egnyte in step: a row in AWS Aurora MySQL for every file in Egnyte, 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 Egnyte 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 Columns, Primary keys and indexes, Views, Foreign keys in AWS Aurora MySQL with Files, Folders, Users, Groups in Egnyte 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 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 02 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • 03 Write custom Metadata such as classification tags and project fields onto Files and Folders from a governance or DMS system, and read it back for reporting.
  • 04 Mirror folder Permissions from a directory or access-management system so entitlements stay consistent across teams.

Common sync patterns

A landing zone for incoming files

Files that arrive in a folder or bucket in Egnyte 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 Egnyte 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 Egnyte 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 Egnyte

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 Egnyte objects How this pairing syncs
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Links Shared file and folder links created, listed, and revoked via the Links API; useful for governing and auditing external sharing. Rows is specific to AWS Aurora MySQL and Links to Egnyte — 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. Metadata Custom metadata keys and project fields on files/folders via the Metadata API; written for classification and read back for reporting. Columns is specific to AWS Aurora MySQL and Metadata to Egnyte — 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 and Audit reports File, login, permission, and sharing activity read via the Events API and Audit Reporting API; consumed read-only for compliance. Primary keys and indexes is specific to AWS Aurora MySQL and Events and Audit reports to Egnyte — 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 File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. Views is specific to AWS Aurora MySQL and Files to Egnyte — 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 Folder hierarchy managed via the fs endpoint (create, move, rename, delete); the tree structure is mirrored during sync. Foreign keys is specific to AWS Aurora MySQL and Folders to Egnyte — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Users Accounts managed via the Users API; provisioned, updated, and deactivated in sync with an HRIS or identity provider. Stored procedures and triggers is specific to AWS Aurora MySQL and Users to Egnyte — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Egnyte

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 Egnyte 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 Egnyte through its API, with automatic retries and rate-limit backoff.

Egnyte AWS Aurora MySQL Sub-second propagation

DetectionEgnyte notifies Stacksync of record changes through webhook events. Events API polled with an incremental cursor (Egnyte recommends an interval of 5 minutes or more), or Webhooks push notifications for fs, metadata,.

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Egnyte: Auto-generated keys default to 2 requests/second and 1,000 requests/day, enforced per access token; monitor X-Accesstoken-Qps-Current/Allotted and X-Accesstoken-Quota-Current headers; higher limits on request.
What ships with AWS Aurora MySQL ⇄ Egnyte

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Egnyte 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 Egnyte 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 Egnyte record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Egnyte 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 Egnyte.

How the AWS Aurora MySQL and Egnyte 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

Egnyte

Integration surface
REST Public API (pubapi/v1) with File System, Users, Groups, Permissions, Links, Metadata, Events, and Webhooks endpoints
Authentication
OAuth 2.0 scoped access tokens (Authorization Code or Implicit for partner apps, Resource Owner Password for internal apps, Refresh Token flow); token sent in the Authorization header
Change detection
Events API polled with an incremental cursor (Egnyte recommends an interval of 5 minutes or more), or Webhooks push notifications for fs, metadata, permission, and comment events
Capabilities
read · write · webhooks
Rate limits
Auto-generated keys default to 2 requests/second and 1,000 requests/day, enforced per access token; monitor X-Accesstoken-Qps-Current/Allotted and X-Accesstoken-Quota-Current headers; higher limits on request
How it works

How to connect AWS Aurora MySQL to Egnyte — 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 Egnyte 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
    Egnyte connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora MySQL and Egnyte 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.

Learn more about security
SOC 2 Type II
ISO 27001
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GDPR
CCPA
DPF US-EU-UK-CH
→ 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 Egnyte.

Popular · 7 of 441
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