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Storage ⇄ Database

Egnyte to Postgres Heroku integration — real-time, two-way sync

Keep Egnyte and Postgres Heroku 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 Egnyte and Postgres Heroku

Keep Postgres Heroku and Egnyte in step: a row in Postgres Heroku 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 Postgres Heroku 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, Views, Materialized Views, Schemas in Postgres Heroku with Users, Groups, Permissions, Links 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 Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • 02 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • 03 Stream Egnyte audit Events (file, login, permission, and Link changes) into a warehouse or SIEM for compliance and governance reporting.
  • 04 Provision and deprovision Egnyte Users and Groups from an HRIS or IdP so folder access follows employee onboarding and offboarding.

Common sync patterns

File metadata kept in step

Tags, custom properties, owner, or status columns edited on a row in Postgres Heroku 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.

Records that point at documents

Where a record in Postgres Heroku references a file in Egnyte, 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 Egnyte become rows in Postgres Heroku as they land, so a database-driven process can pick them up without polling the storage system's API.

What you can sync between Egnyte and Postgres Heroku

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.

Egnyte objects Postgres Heroku objects How this pairing syncs
Permissions Folder permissions listed, set, and removed via the Permissions API; effective permission for a user/folder is computable. Sequences Generate surrogate keys for rows created by inbound syncs. Permissions is specific to Egnyte and Sequences to Postgres Heroku — each maps to any object or custom field on the other side.
Links Shared file and folder links created, listed, and revoked via the Links API; useful for governing and auditing external sharing. Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Links is specific to Egnyte and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side.
Metadata Custom metadata keys and project fields on files/folders via the Metadata API; written for classification and read back for reporting. Tables Standard Postgres tables; the primary two-way sync target for app data. Metadata is specific to Egnyte and Tables to Postgres Heroku — each maps to any object or custom field on the other side.
Events and Audit reports File, login, permission, and sharing activity read via the Events API and Audit Reporting API; consumed read-only for compliance. Views Read-side projections exposed to outbound syncs. Events and Audit reports is specific to Egnyte and Views to Postgres Heroku — each maps to any object or custom field on the other side.
Files File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. Materialized Views Precomputed result sets synced outward on refresh. Files is specific to Egnyte and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side.
Folders Folder hierarchy managed via the fs endpoint (create, move, rename, delete); the tree structure is mirrored during sync. Schemas Namespaces that scope which tables a sync reads and writes. Folders is specific to Egnyte and Schemas to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Egnyte and Postgres Heroku

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.

Egnyte Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.

Postgres Heroku Egnyte Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

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

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.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Egnyte ⇄ Postgres Heroku

Connect Egnyte and Postgres Heroku for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Egnyte or Postgres Heroku 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 Egnyte or Postgres Heroku record.

Observability

Monitoring

Track your Egnyte ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Egnyte and Postgres Heroku.

How the Egnyte and Postgres Heroku connectors work

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

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

How to connect Egnyte to Postgres Heroku — 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 Egnyte and Postgres Heroku 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
    Egnyte connected
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Egnyte and Postgres Heroku 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 · Egnyte ⇄ Postgres Heroku
    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
    Egnyte Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Egnyte and Postgres Heroku 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.

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 439 integrations available for Egnyte and Postgres Heroku.

Popular · 7 of 439
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