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Data warehouse ⇄ Business productivity

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

Keep Cloudera Data Platform and GitHub in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Cloudera Data Platform and GitHub

Get the data locked inside GitHub into Cloudera Data Platform as live tables, and send results back where GitHub can use them, without writing a pipeline.

Whatever GitHub is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Commits, Releases, Workflow runs (Actions), Organizations and Teams from GitHub into tables in Cloudera Data Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Cloudera Data Platform can also be written back into fields in GitHub where the tool can use them.

Common use cases

  • Mirror repository, PR, and workflow-run data into a Postgres database for engineering-metrics reporting.
  • Sync organization and team membership with an identity or HR system to automate access reviews and offboarding.
  • Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
  • Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.

History that outlives the tool

A continuously synced copy in Cloudera Data Platform preserves a queryable record even as data ages out of GitHub or gets changed inside it.

Analytics on GitHub's data

Records and events from GitHub land in Cloudera Data Platform as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

Combine GitHub's data with data from every other synced system to answer questions no single tool can.

What you can sync between Cloudera Data Platform and GitHub

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 GitHub objects
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. Workflow runs (Actions) CI results synced into incident and reporting systems.
Impala tables The same metastore tables served through Impala for lower-latency SQL reads. Organizations and Teams Membership data synced with identity systems and HR directories for access reviews.
Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. Users Author and assignee identities matched to internal directories.
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Labels and Milestones Classification fields mapped to statuses and sprints in external trackers.
Views SQL views that can present curated, sync-ready projections of raw lake data. Repositories Top-level containers whose metadata and settings syncs read to scope other objects.
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Issues Synced two-way with project trackers and support tools, including labels and assignees.
What ships with Cloudera Data Platform ⇄ GitHub

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

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

Real-time

Two-way sync

Changes in Cloudera Data Platform or GitHub 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 GitHub 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 GitHub record.

Observability

Monitoring

Track your Cloudera Data Platform ⇄ GitHub 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 GitHub.

How the Cloudera Data Platform and GitHub 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

GitHub

Integration surface
REST API and GraphQL API
Authentication
OAuth 2.0, fine-grained personal access tokens, or GitHub App installation tokens
Change detection
Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases; polling for backfill
Capabilities
read · write · webhooks
Rate limits
Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
How it works

How to connect Cloudera Data Platform to GitHub — 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 GitHub 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
    GitHub connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform and GitHub 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 ⇄ GitHub
    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 GitHub
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Cloudera Data Platform and GitHub integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Cloudera Data Platform and GitHub.

Popular · 8 of 386
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