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Data warehouse ⇄ Storage

Cloudera Data Platform to Egnyte integration — real-time, two-way sync

Keep Cloudera Data Platform 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 Cloudera Data Platform and Egnyte

Bridge query-ready tables and stored files: Cloudera Data Platform and Egnyte keep the same records in step, in real time, in both directions.

Cloudera Data Platform 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 Cloudera Data Platform, or a result in Cloudera Data Platform 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 Partitions, Object store / HDFS files, Databases, Hive tables in Cloudera Data Platform with Permissions, Links, Metadata, Events and Audit reports 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.

Common use cases

  • 01 Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
  • 02 Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.
  • 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

Where Egnyte receives the raw files: land them as query-ready rows

Files and exports that arrive in Egnyte are parsed into Partitions, Object store / HDFS files, Databases, Hive tables in Cloudera Data Platform as they land, so analysts query current data instead of waiting on the next scheduled load.

Where Egnyte is the shared drive: publish results back as files

Curated tables and query results from Cloudera Data Platform are written to Egnyte as files the rest of the business can open, keeping the shared copy current without a hand-run export.

One dataset, kept consistent both ways

Where the same dataset lives as a file in Egnyte and a table in Cloudera Data Platform, a change on either side propagates to the other, ending the drift between the file people read and the table people query.

What you can sync between Cloudera Data Platform 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.

Cloudera Data Platform objects Egnyte objects How this pairing syncs
Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. Groups Groups and membership managed via the Groups API; kept aligned with directory or IdP groups that drive folder access. Object store / HDFS files is specific to Cloudera Data Platform and Groups to Egnyte — each maps to any object or custom field on the other side.
Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. Permissions Folder permissions listed, set, and removed via the Permissions API; effective permission for a user/folder is computable. Databases is specific to Cloudera Data Platform and Permissions to Egnyte — each maps to any object or custom field on the other side.
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. Links Shared file and folder links created, listed, and revoked via the Links API; useful for governing and auditing external sharing. Hive tables is specific to Cloudera Data Platform and Links to Egnyte — each maps to any object or custom field on the other side.
Impala tables The same metastore tables served through Impala for lower-latency SQL reads. Metadata Custom metadata keys and project fields on files/folders via the Metadata API; written for classification and read back for reporting. Impala tables is specific to Cloudera Data Platform and Metadata to Egnyte — each maps to any object or custom field on the other side.
Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. Events and Audit reports File, login, permission, and sharing activity read via the Events API and Audit Reporting API; consumed read-only for compliance. Kudu tables is specific to Cloudera Data Platform and Events and Audit reports to Egnyte — each maps to any object or custom field on the other side.
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Files File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. Iceberg tables is specific to Cloudera Data Platform and Files to Egnyte — each maps to any object or custom field on the other side.

How changes propagate between Cloudera Data Platform 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.

Cloudera Data Platform Egnyte Interval-based propagation

DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.

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

Egnyte Cloudera Data Platform 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 Cloudera Data Platform as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Cloudera Data Platform: Constrained by cluster capacity and admission control rather than API rate limits.
  • 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 Cloudera Data Platform ⇄ Egnyte

Connect Cloudera Data Platform and Egnyte for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Egnyte record.

Observability

Monitoring

Track your Cloudera Data Platform ⇄ Egnyte sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Egnyte.

How the Cloudera Data Platform and Egnyte connectors work

Cloudera Data Platform

Integration surface
JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
Authentication
Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits

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 Cloudera Data Platform 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.

  1. 01

    Connect your apps

    Authenticate Cloudera Data Platform 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Cloudera Data Platform connected
    Egnyte connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Cloudera Data Platform ⇄ Egnyte
    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
    Cloudera Data Platform Egnyte
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Cloudera Data Platform and Egnyte 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 427 integrations available for Cloudera Data Platform and Egnyte.

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