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Database ⇄ Storage

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

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

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Why teams connect Amazon Aurora and Egnyte

Keep Amazon Aurora and Egnyte in step: a row in Amazon Aurora 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 Amazon Aurora 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 Views, Materialized Views, Columns and Data Types, Primary and Foreign Keys in Amazon Aurora with Events and Audit reports, Files, Folders, Users 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 Consolidate several Aurora clusters into one reporting database.
  • 02 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • 03 Mirror folder Permissions from a directory or access-management system so entitlements stay consistent across teams.
  • 04 Stream Egnyte audit Events (file, login, permission, and Link changes) into a warehouse or SIEM for compliance and governance reporting.

Common sync patterns

Continuous archival to file storage

Rows from Amazon Aurora 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 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 Egnyte, and metadata changed in Egnyte updates the row, so the two never disagree about a file.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Egnyte objects How this pairing syncs
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Permissions Folder permissions listed, set, and removed via the Permissions API; effective permission for a user/folder is computable. Schemas is specific to Amazon Aurora and Permissions to Egnyte — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. Links Shared file and folder links created, listed, and revoked via the Links API; useful for governing and auditing external sharing. Tables is specific to Amazon Aurora and Links to Egnyte — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Metadata Custom metadata keys and project fields on files/folders via the Metadata API; written for classification and read back for reporting. Views is specific to Amazon Aurora and Metadata to Egnyte — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Events and Audit reports File, login, permission, and sharing activity read via the Events API and Audit Reporting API; consumed read-only for compliance. Materialized Views is specific to Amazon Aurora and Events and Audit reports to Egnyte — 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. Files File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. Columns and Data Types is specific to Amazon Aurora and Files to Egnyte — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Folders Folder hierarchy managed via the fs endpoint (create, move, rename, delete); the tree structure is mirrored during sync. Primary and Foreign Keys is specific to Amazon Aurora and Folders to Egnyte — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora 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.

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

Egnyte Amazon Aurora 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 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.
  • 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 Amazon Aurora ⇄ Egnyte

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Egnyte record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Egnyte 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 Egnyte.

How the Amazon Aurora and Egnyte 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

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

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora ⇄ 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
    Amazon Aurora Egnyte
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora 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.

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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 Egnyte.

Popular · 7 of 425
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