Is Definite a data warehouse for my GitLab data?

Yes. Definite is your complete data warehouse for GitLab data—no need to pay for Snowflake, BigQuery, or Databricks. Definite syncs your 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.

Can I analyze my GitLab data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools — from app databases and CRMs to marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports over 500+ data sources, with options for daily, hourly, or near real-time. Definite makes analysis easy. You can select metrics and dimensions from your GitLab data alongside other sources to explore insights, build dashboards, and share results — no SQL needed (unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect GitLab data to tools like Python, SQL, Google Sheets, or Slack?

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.

How does Definite's AI actually work?

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.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups 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.

GitLab Analytics & Custom Reporting with AI

Connector Database / GitLab

Analyze your GitLab data with AI

Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your GitLab data with AI-powered assistant.

Start with a question

Generate automated reports and business intelligence insights from your GitLab data—as fast as you can ask them.

Build dashboards and data visualizations

Transform your conversation into dynamic data visualizations on an intuitive data canvas.

Integrate all your data

Unify your GitLab data with DuckDB-powered data warehouse including Quickbooks, Attio and MySQL.

Available GitLab Data

Extracts GitLab project, group, and user data, including issues, merge requests, commits, branches, releases, tags, labels, milestones, CI/CD pipelines and jobs, vulnerabilities, and configuration variables. This enables engineering analytics such as delivery velocity, code review throughput, CI reliability, release cadence, contributor activity, and security posture across projects and groups.

Group

Organizational container for related projects and members; enables portfolio rollups across teams, cross-project throughput, and program-level governance.

Project

A single repository and workspace for code and work tracking; supports analysis of repository activity, CI/CD health, releases, and contributor engagement at the project level.

User

Contributors and members with access to groups and projects; enables analysis of author/reviewer workload, activity, and team-level performance segmentation.

Issue

Work items tracked in projects; powers backlog health, throughput, and cycle/lead time analyses by label, assignee, and milestone.

Epic

Cross-project initiatives grouping related issues (Ultimate); supports program-level progress tracking, scope management, and predictability across teams.

Milestone

Time-bound goals at the project or group level; used for tracking delivery against plans, burndown, and schedule adherence.

Merge Request

Code change proposals and reviews; enables metrics on review throughput, cycle time, approvals, and merge rates.

Commit

Atomic code changes in the repository; supports analysis of commit velocity, code churn, contributor activity, and change volume over time.

Pipeline

CI/CD pipeline executions for a project; used to monitor success rates, durations, and trends in build and deployment reliability.

Job

Individual CI jobs within a pipeline; enables step-level reliability, retry behavior, and bottleneck analysis.

Release

Versioned releases with notes and associated tags; supports analysis of release cadence, change volume, and deployment readiness.

Label

Taxonomy applied to issues and merge requests; enables segmentation of work by type, priority, team, or component for reporting.

Vulnerability

Security findings detected in projects; supports risk posture tracking, severity distributions, and remediation throughput.

Authentication Required

Uses a GitLab Personal Access Token you create in your GitLab profile to authenticate via the Private-Token header

Need help with setup? Contact our team →

Getting started with
GitLab Analytics & Business Intelligence

Connect your GitLab data

Connect to GitLab once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.

Build business intelligence models

Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.

Generate reports and insights

Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.

Want to see how easy it is to get started?

GitLab usersDefinite

People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.

I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.

Aditya Sarkar

Co-Founder at Lean

A data platform built for startups

Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.

Ryan

CEO at a 9-figure E-comm Company

Immediate ROI

Have questions?

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