Two-way sync
Changes in Dremio or Egnyte instantly reflect in both systems. No stale data, no manual imports.
Keep Dremio 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.
Dremio keeps the tables and query results a business reports on; Egnyte keeps the raw files, documents, and objects that the same business produces and shares. The two overlap wherever a dataset lives as both — a file dropped in Egnyte that has to become rows in Dremio, or a result in Dremio that people downstream need back as a file in Egnyte. When that overlap is bridged by manual export and import or an overnight job, one side spends the day working from a stale copy.
Stacksync syncs Virtual datasets (views), Apache Iceberg tables, Spaces and folders, Reflections in Dremio with Events and Audit reports, Files, Folders, Users in Egnyte field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
The catalog of documents, owners, and folders in Egnyte appears as Virtual datasets (views), Apache Iceberg tables, Spaces and folders, Reflections in Dremio, so file metadata can be joined against the rest of your data and reported on.
Classifications, scores, or status derived in Dremio are written back onto the matching Events and Audit reports, Files, Folders, Users in Egnyte as metadata or tags, so the file store reflects what analytics decided.
Files and exports that arrive in Egnyte are parsed into Virtual datasets (views), Apache Iceberg tables, Spaces and folders, Reflections in Dremio as they land, so analysts query current data instead of waiting on the next scheduled load.
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.
| Dremio objects | Egnyte objects | How this pairing syncs | |
|---|---|---|---|
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Permissions Folder permissions listed, set, and removed via the Permissions API; effective permission for a user/folder is computable. | Sources is specific to Dremio and Permissions to Egnyte — each maps to any object or custom field on the other side. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Links Shared file and folder links created, listed, and revoked via the Links API; useful for governing and auditing external sharing. | Physical datasets is specific to Dremio and Links to Egnyte — each maps to any object or custom field on the other side. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Metadata Custom metadata keys and project fields on files/folders via the Metadata API; written for classification and read back for reporting. | Virtual datasets (views) is specific to Dremio and Metadata to Egnyte — each maps to any object or custom field on the other side. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Events and Audit reports File, login, permission, and sharing activity read via the Events API and Audit Reporting API; consumed read-only for compliance. | Apache Iceberg tables is specific to Dremio and Events and Audit reports to Egnyte — each maps to any object or custom field on the other side. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Files File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. | Spaces and folders is specific to Dremio and Files to Egnyte — each maps to any object or custom field on the other side. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Folders Folder hierarchy managed via the fs endpoint (create, move, rename, delete); the tree structure is mirrored during sync. | Reflections is specific to Dremio and Folders to Egnyte — 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.
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryEach detected change is written to Egnyte through its API, with automatic retries and rate-limit backoff.
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 Dremio as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Egnyte connection.
Changes in Dremio or Egnyte instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dremio or Egnyte data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Dremio or Egnyte record.
Track your Dremio ⇄ Egnyte sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dremio and Egnyte.
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 Dremio 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.
Pick the Dremio 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.
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 Dremio and Egnyte: authenticate both systems, choose the objects to sync (such as Dremio's Sources and Physical datasets), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dremio and Egnyte connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–Egnyte integration in-house.
Yes — Stacksync ships production-grade connectors for both Dremio and Egnyte. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. 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.
On the Dremio side: Virtual datasets (views), Apache Iceberg tables, Spaces and folders, Reflections, plus custom fields where Dremio 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.
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 425 integrations available for Dremio and Egnyte.