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GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
IBM's open, hybrid data lakehouse that connects, governs and optimizes enterprise data to make it AI-ready across clouds and on-premises.
Fully-managed Apache Airflow platform for data and AI pipeline orchestration, with observability and an AI agent (Otto).
No public pricing
No public pricing
No public pricing
Free trial available
Free trial available
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- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦Open hybrid data lakehouse
- ✦Connects data across clouds and on-prem
- ✦Governance, lineage and access controls
- ✦Business-context enrichment
- ✦AI-ready data for analytics and models
- ✦Managed Apache Airflow (Astro)
- ✦Otto AI data-engineering agent
- ✦Local and browser-based development
- ✦Deployments as code via Git/CLI/Terraform
- ✦Native data observability and lineage
- ✦Zero-downtime upgrades and rollbacks
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- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Unifying fragmented enterprise data
- →Governing data for AI workloads
- →Moving AI pilots to production
- →Powering analytics with trusted data
- →Orchestrate production data pipelines
- →Run Airflow without ops overhead
- →Automate DAG authoring and debugging
- →Monitor pipeline health and lineage