Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Egnyte instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Storage
AWS Aurora PostgreSQL to Egnyte integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Egnyte
Keep AWS Aurora PostgreSQL and Egnyte in step: a row in AWS Aurora PostgreSQL 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 PostgreSQL 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 Tables, Rows, Columns, Primary keys and constraints in AWS Aurora PostgreSQL with Permissions, Links, Metadata, Events and Audit reports 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 Sync JSONB-heavy application data into structured objects in downstream business systems.
- 02 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- 03 Two-way sync of Files and Folders between Egnyte and an operational database or another content store, keeping the folder hierarchy aligned.
- 04 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.
Common sync patterns
Continuous archival to file storage
Rows from AWS Aurora PostgreSQL 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 PostgreSQL, 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 PostgreSQL objects | Egnyte objects | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync unit; rows are matched across systems by primary key. | Permissions Folder permissions listed, set, and removed via the Permissions API; effective permission for a user/folder is computable. | Tables is specific to AWS Aurora PostgreSQL and Permissions to Egnyte — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional 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 PostgreSQL and Links to Egnyte — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | 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 PostgreSQL and Metadata to Egnyte — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | 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 constraints is specific to AWS Aurora PostgreSQL and Events and Audit reports to Egnyte — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Files File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. | Views and materialized views is specific to AWS Aurora PostgreSQL and Files to Egnyte — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references 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 PostgreSQL and Folders to Egnyte — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL Egnyte 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 Egnyte through its API, with automatic retries and rate-limit backoff.
Egnyte AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ Egnyte
Connect AWS Aurora PostgreSQL and Egnyte for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Egnyte connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or Egnyte record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Egnyte.
How the AWS Aurora PostgreSQL and Egnyte 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
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 PostgreSQL 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.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
connected
Egnyte
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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.
objects · AWS Aurora PostgreSQL ⇄ EgnyteCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora PostgreSQL EgnyteCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Egnyte integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Egnyte: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Tables and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Egnyte. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Egnyte: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the AWS Aurora PostgreSQL side: Tables, Rows, Columns, Primary keys and constraints, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Egnyte side: Permissions, Links, Metadata, Events and Audit reports. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for AWS Aurora PostgreSQL and Egnyte: Continuous archival to file storage; A queryable index of the file store; File metadata kept in step. Rows from AWS Aurora PostgreSQL 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.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 443 integrations available for AWS Aurora PostgreSQL and Egnyte.
Popular · 7 of 443
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AWS Aurora PostgreSQL ⇄ Amazon S3 -
AWS Aurora PostgreSQL ⇄ Box -
AWS Aurora PostgreSQL ⇄ Sharepoint -
Egnyte ⇄ Elasticsearch -
Egnyte ⇄ Google Cloud Spanner - Egnyte ⇄ Google Cloud SQL
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Egnyte ⇄ IBM AS/400
No integrations match .
