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Dagster logo
Dagster
✓ verifiedFreemium

Open-source asset-based data orchestrator, with Dagster+ cloud, for building, observing and delivering reliable data and AI pipelines.

152K visits/mo
CloudKeeper Tuner logo
CloudKeeper Tuner
✓ verifiedPaid

Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.

43K visits/mo
Bitbucket logo
Bitbucket
✓ verifiedFreemium

Atlassian's Git repository hosting for teams with built-in CI/CD pipelines and tight Jira integration for code review and deployment.

13M visits/mo
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Pricing
Solo: $10/mo + $0.040/credit (1 user)
Starter: $100/mo + $0.035/credit (up to 3 users)

Free trial available

CloudKeeper Tuner: 2% of monthly AWS bill (1% for CloudKeeper AZ/EDP+ customers)

Free trial available

No public pricing

Free trial available

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Core features
  • Asset-based pipeline orchestration
  • Built-in lineage and data-quality checks
  • Data catalog with asset metadata
  • Native dbt, Snowflake and Fivetran integrations
  • Branch deployments and hybrid deployment
  • Open-source core plus managed Dagster+ cloud
  • 150+ recommendations across 50+ AWS services
  • Zombie and unused resource cleanup
  • Over-provisioned rightsizing
  • Idle-resource scheduler
  • SpotBot for ECS Fargate spot/on-demand switching
  • AWS console extension with Slack/Teams alerts
  • Git repository hosting
  • Bitbucket Pipelines CI/CD
  • Pull requests and code review
  • Native Jira integration
  • Branch permissions and access controls
  • IP allowlisting and security features
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
Use cases
  • Orchestrate ETL/ELT and dbt pipelines
  • Monitor data health and lineage
  • Build AI/ML data pipelines
  • Run reliable, observable data platforms
  • Cutting AWS spend automatically
  • Rightsizing over-provisioned resources
  • Scheduling idle resources off-hours
  • Giving DevOps in-console cost recommendations
  • Source code management
  • CI/CD automation
  • Team code review
  • DevOps for Jira-based teams
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
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