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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
Netify logo
Netify
✓ verifiedPaid

Local deep packet inspection and network intelligence giving businesses full visibility into application, VPN and Tor traffic.

253K visits/mo
Base44 logo
Base44
✓ verifiedFreemium

No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.

18M visits/mo
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: $0
Starter: $16/mo
Builder: $40/mo
Pro: $80/mo
Elite: $160/mo
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
  • Local deep packet inspection agent
  • Application identification data feeds
  • VPN and Tor IP datasets
  • Network informatics and analytics
  • Developer documentation
  • Prompt-to-app full-stack generation
  • Built-in backend, database and auth
  • One-click integrations (Slack, Notion, HubSpot, etc.)
  • Instant hosting and custom domains
  • Superagents for automated workflows
  • GitHub sync and code export
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
  • Classify application traffic on a network
  • Detect VPN and Tor usage
  • Feed DPI data into security and analytics tools
  • Building internal tools and dashboards
  • Launching websites and landing pages
  • Creating customer portals and CRMs
  • Deploying AI agents that automate tasks
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