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Apache Cassandra to GitHub integration — real-time, two-way sync

Keep Apache Cassandra 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.

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

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Why teams connect Apache Cassandra and GitHub

Mirror GitHub's data into Apache Cassandra so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like GitHub through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Apache Cassandra.

Stacksync mirrors Users, Labels and Milestones, Repositories, Issues from GitHub into Partitions and Rows, Materialized Views, Secondary Indexes, User-Defined Types in Apache Cassandra and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into GitHub, so the tool and the database never disagree.

Common use cases

  • 01 Publish release data into customer-communication tools when a new version ships.
  • 02 Two-way sync of GitHub issues with Jira, Linear, or a support system so engineering and customer-facing teams work in their own tools.
  • 03 Write attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.
  • 04 Feed Cassandra change streams into search indexes or caches that must track the source of truth.

Common sync patterns

Automate GitHub from your codebase

Write to the synced tables in Apache Cassandra and Stacksync propagates the change into GitHub, replacing custom integration code.

React to changes as they happen

Updates in GitHub arrive as row changes in Apache Cassandra, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Apache Cassandra 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.

Apache Cassandra objects GitHub objects How this pairing syncs
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Workflow runs (Actions) CI results synced into incident and reporting systems. Partitions and Rows is specific to Apache Cassandra and Workflow runs (Actions) to GitHub — each maps to any object or custom field on the other side.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. Materialized Views is specific to Apache Cassandra and Organizations and Teams to GitHub — each maps to any object or custom field on the other side.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Users Author and assignee identities matched to internal directories. Secondary Indexes is specific to Apache Cassandra and Users to GitHub — each maps to any object or custom field on the other side.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. User-Defined Types is specific to Apache Cassandra and Labels and Milestones to GitHub — each maps to any object or custom field on the other side.
Collections List, set, and map columns handled with type-aware field mapping. Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Collections is specific to Apache Cassandra and Repositories to GitHub — each maps to any object or custom field on the other side.
Counters Increment-only counter columns, usually read-only in syncs. Issues Synced two-way with project trackers and support tools, including labels and assignees. Counters is specific to Apache Cassandra and Issues to GitHub — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and GitHub

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.

Apache Cassandra GitHub Sub-second propagation

DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.

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

GitHub Apache Cassandra Sub-second propagation

DetectionGitHub notifies Stacksync of record changes through webhook events. Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases.

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

Rate-limit considerations

  • Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
  • GitHub: Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
What ships with Apache Cassandra ⇄ GitHub

Connect Apache Cassandra and GitHub for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–GitHub connection.

Real-time

Two-way sync

Changes in Apache Cassandra or GitHub instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra 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 Apache Cassandra or GitHub record.

Observability

Monitoring

Track your Apache Cassandra ⇄ GitHub sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and GitHub.

How the Apache Cassandra and GitHub connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

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 Apache Cassandra 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 Apache Cassandra 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
    Apache Cassandra connected
    GitHub connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra 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 · Apache Cassandra ⇄ 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
    Apache Cassandra GitHub
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and GitHub 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 383 integrations available for Apache Cassandra and GitHub.

Popular · 8 of 383
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