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Storage ⇄ Database

Egnyte to Elasticsearch integration — real-time, two-way sync

Keep Egnyte and Elasticsearch 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 Elasticsearch

Keep Elasticsearch and Egnyte in step: a row in Elasticsearch 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 Elasticsearch 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 Data streams, Ingest pipelines, Index templates, Indices in Elasticsearch 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 Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
  • 02 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
  • 03 Provision and deprovision Egnyte Users and Groups from an HRIS or IdP so folder access follows employee onboarding and offboarding.
  • 04 Two-way sync of Files and Folders between Egnyte and an operational database or another content store, keeping the folder hierarchy aligned.

Common sync patterns

Records that point at documents

Where a record in Elasticsearch 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 Elasticsearch 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 Elasticsearch 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.

What you can sync between Egnyte and Elasticsearch

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 Elasticsearch objects How this pairing syncs
Groups Groups and membership managed via the Groups API; kept aligned with directory or IdP groups that drive folder access. Aliases Stable read/write names that let a sync cut over between index versions without downtime. Groups is specific to Egnyte and Aliases to Elasticsearch — each maps to any object or custom field on the other side.
Permissions Folder permissions listed, set, and removed via the Permissions API; effective permission for a user/folder is computable. Data streams Append-only targets for time-series or event data pushed from source systems. Permissions is specific to Egnyte and Data streams to Elasticsearch — 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. Ingest pipelines Server-side transforms applied to documents as a sync writes them. Links is specific to Egnyte and Ingest pipelines to Elasticsearch — 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. Index templates Reusable settings and mappings applied automatically to new indices a sync creates. Metadata is specific to Egnyte and Index templates to Elasticsearch — 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. Indices Target containers for synced records; each holds a table-like collection of JSON documents. Events and Audit reports is specific to Egnyte and Indices to Elasticsearch — 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. Documents The unit of sync; JSON records created, updated, and deleted by _id. Files is specific to Egnyte and Documents to Elasticsearch — each maps to any object or custom field on the other side.

How changes propagate between Egnyte and Elasticsearch

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 Elasticsearch 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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.

Elasticsearch Egnyte Interval-based propagation

DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.

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.
  • Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with Egnyte ⇄ Elasticsearch

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Egnyte or Elasticsearch 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 Elasticsearch record.

Observability

Monitoring

Track your Egnyte ⇄ Elasticsearch 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 Elasticsearch.

How the Egnyte and Elasticsearch 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

Elasticsearch

Integration surface
REST API (JSON over HTTP)
Authentication
API keys or basic authentication; Elastic Cloud also issues service account tokens
Change detection
Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
Capabilities
read · write
Rate limits
No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
How it works

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

    Choose tables

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

Egnyte and Elasticsearch 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 511 integrations available for Egnyte and Elasticsearch.

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