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Data warehouse ⇄ Business productivity

Exasol to GitHub integration — real-time, two-way sync

Keep Exasol 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 Exasol and GitHub

Get the data locked inside GitHub into Exasol 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 Labels and Milestones, Repositories, Issues, Pull Requests from GitHub into tables in Exasol continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Exasol can also be written back into fields in GitHub where the tool can use them.

Common use cases

  • 01 Two-way sync of GitHub issues with Jira, Linear, or a support system so engineering and customer-facing teams work in their own tools.
  • 02 Mirror repository, PR, and workflow-run data into a Postgres database for engineering-metrics reporting.
  • 03 Load CRM and ERP records into Exasol tables on a schedule so analysts query fresh operational data.
  • 04 Sync computed metrics or customer segments from Exasol back into a CRM for sales and marketing use (reverse ETL).

Common sync patterns

Analytics on GitHub's data

Records and events from GitHub land in Exasol 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.

Where GitHub accepts updates: operational write-back

Segments, scores, or reference values computed in Exasol sync back onto records in GitHub, putting analysis where the work happens.

What you can sync between Exasol 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.

Exasol objects GitHub objects How this pairing syncs
Views Read-only query surfaces often used as curated sources for reverse ETL. Users Author and assignee identities matched to internal directories. Views is specific to Exasol and Users to GitHub — each maps to any object or custom field on the other side.
Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. Labels and Milestones Classification fields mapped to statuses and sprints in external trackers. Virtual schemas is specific to Exasol and Labels and Milestones to GitHub — each maps to any object or custom field on the other side.
UDF scripts In-database functions that can transform synced data after load. Repositories Top-level containers whose metadata and settings syncs read to scope other objects. UDF scripts is specific to Exasol and Repositories to GitHub — each maps to any object or custom field on the other side.
Users and roles Grant read/write access for the dedicated integration account. Issues Synced two-way with project trackers and support tools, including labels and assignees. Users and roles is specific to Exasol and Issues to GitHub — each maps to any object or custom field on the other side.
Schemas Namespaces that group the tables a sync reads from or writes into. Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. Schemas is specific to Exasol and Pull Requests to GitHub — each maps to any object or custom field on the other side.
Tables Primary sync target; columnar relational tables written with standard SQL. Commits Read-only history used to link code activity to tickets and releases. Tables is specific to Exasol and Commits to GitHub — each maps to any object or custom field on the other side.

How changes propagate between Exasol 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.

Exasol GitHub Interval-based propagation

DetectionStacksync polls Exasol for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key columns.

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

GitHub Exasol 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 applied to Exasol as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Exasol: No API quota; concurrency is bounded by cluster resources and session limits.
  • GitHub: Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
What ships with Exasol ⇄ GitHub

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Exasol 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 Exasol or GitHub record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Exasol and GitHub connectors work

Exasol

Integration surface
SQL over JDBC/ODBC drivers and a WebSocket-based client protocol
Authentication
Database credentials (username and password)
Change detection
Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients
Capabilities
read · write
Rate limits
No API quota; concurrency is bounded by cluster resources and session 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 Exasol 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 Exasol 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
    Exasol connected
    GitHub connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Exasol 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 Exasol and GitHub.

Popular · 8 of 383
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