Two-way sync
Changes in Egnyte or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
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.
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.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Egnyte–Elasticsearch connection.
Changes in Egnyte or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Egnyte or Elasticsearch data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Egnyte or Elasticsearch record.
Track your Egnyte ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Egnyte and Elasticsearch.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Egnyte and Elasticsearch: authenticate both systems, choose the objects to sync (such as Egnyte's Groups and Permissions), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Egnyte and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Elasticsearch side: Data streams, Ingest pipelines, Index templates, Indices, plus custom fields where Elasticsearch exposes them. On the Egnyte side: Events and Audit reports, Files, Folders, Users. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Egnyte and Elasticsearch: Records that point at documents; A landing zone for incoming files; Continuous archival to file storage. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 511 integrations available for Egnyte and Elasticsearch.