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Connectors / GitHub + Prometheus

Combine GitHub and Prometheus in one place.

Stop juggling conflicting dashboards. Sync GitHub and Prometheus into Definite, model them together, and answer questions across both in one reliable, aligned view.

Connect GitHub + Prometheus →Book a setup call

§ Live with

Use cases

What teams build with GitHub + Prometheus

Customer across GitHub + Prometheus

Both connectors expose customer data. Definite models them together so you can analyze customer holistically.

Engagement across GitHub + Prometheus

Both connectors expose engagement data. Definite models them together so you can analyze engagement holistically.

Development across GitHub + Prometheus

Both connectors expose development data. Definite models them together so you can analyze development holistically.

Support across GitHub + Prometheus

Both connectors expose support data. Definite models them together so you can analyze support holistically.

Marketing across GitHub + Prometheus

Both connectors expose marketing data. Definite models them together so you can analyze marketing holistically.

How it works

From two connectors to one dashboard.

Step 01

Connect GitHub

OAuth or API key, then Definite pulls GitHub on an hourly (or faster) schedule with native CDC.

Step 02

Connect Prometheus

Same drill for Prometheus. Row-level security and schema history are on by default.

Step 03

Model them together

Join GitHub and Prometheus on shared keys, define your metrics once, and reuse them everywhere — one source of truth.

Step 04

Dashboard and ask Fi

Build charts in minutes, or ask Fi in plain English. Every answer cites the underlying model.

§ Shared domains · scroll to explore

Find truth in GitHub × Prometheus
data.

5 shared domains — customer, engagement, development, marketing, and support. Definite unifies the overlapping objects so every metric is defined once and traces back to both sources.

01·Domain

Customer analytics

Analyze customer attributes, lifecycle stages, segmentation, and relationships to identify high-value segments, predict churn risk, calculate lifetime value, and optimize customer health scores for targeted retention and growth strategies.

GitHub

ContributorOrganizationProject (Projects V2)Pull RequestStargazerTeam

Prometheus

Label Dimensions

02·Domain

Customer Engagement analytics

Gain visibility into the entire customer lifecycle through interaction analysis — track opens, clicks, calls, chats, sessions, events, and meetings to understand engagement patterns, identify at-risk customers, optimize touchpoint timing, and improve customer experience across all channels.

GitHub

DeploymentDiscussionMilestoneOrganizationRepository Traffic

Prometheus

Metric Time SeriesPromQL Query

03·Domain

Development analytics

Measure code velocity, sprint performance, deployment frequency, bug resolution times, and engineering collaboration to optimize development workflows, improve release quality, accelerate delivery, and enhance team productivity.

GitHub

CommitDependency

Prometheus

Metric Time Series

04·Domain

Marketing analytics

Measure campaign performance, ROI, attribution, and channel effectiveness to optimize spend allocation, improve conversion funnels, reduce customer acquisition costs, and maximize marketing efficiency across all touchpoints.

GitHub

IssueRepository Traffic

Prometheus

Label Dimensions

05·Domain

Support analytics

Monitor ticket volumes, resolution times, customer satisfaction scores, and agent performance to identify support trends, optimize resource allocation, improve response quality, reduce escalations, and enhance overall customer service efficiency.

GitHub

ContributorDiscussionIssueMilestoneRelease

Prometheus

PromQL Query

● Active · unified in Definite

Analytics across GitHub + Prometheus

GitHub objects16

CommitContributorDependencyDeploymentDiscussionIssueMilestoneOrganizationProject (Projects V2)Pull RequestReleaseRepositoryRepository TrafficStargazerTeamWorkflow Run (GitHub Actions)

Prometheus objects3

Label DimensionsMetric Time SeriesPromQL Query

§ Questions, answered

Questions about combining sources.

Definite syncs your GitHub and Prometheus data into secure, managed infrastructure, powered by DuckDB for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups.

You get lightning-fast queries, built-in business intelligence tools, and SOC 2–compliant data residency options — all without the overhead or complexity of running a separate warehouse.

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing.

Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works. Learn more about our product features.

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes — turning plain-English questions into real analysis.

Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Yes. Definite offers a free plan that includes core analytics, dashboards, and AI insights — everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

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