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Products/Data Engineering/MINEO

MINEO

Automated

AI-powered data platform for teams combining interactive notebooks, live apps, pipelines, and AI Threads for building and deploying data workflows.

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Active plans

3

Total changes

0

Last change

—

Price trend

no history

What we know about MINEO’s pricing

Newly tracked

Changes in 12 months

0

Cadence

No changes seen yet

Direction

no movement yet

Category position

Middle of the pack for Data Engineering (451 compared)

Current pricing

Free

monthly
Free
  • Members(3)
  • Builders(1)
  • Viewers(0)
  • Storage(1 GB per project)
  • CPU hours / month(30)
  • AI budget(Included (fair-use))
  • Workers(2 GB RAM · 2 cores · 2h max)
  • Threads(Threads access)
  • Live Apps(Up to 2 published apps (with MINEO branding))
  • Dev Environments(Full VS Code in the cloud)
  • Support(Community support)

Team

monthly
€65/mo
  • yearly€624/yr(from €52/mo (billed annually))
  • Per-seat pricing (Members, Builders, Viewers)
  • 5 projects
  • 5 GB per project
  • 150 CPU hours/month
  • Git integration
  • Code Interpreter
  • MCP Client
  • Scheduled pipelines
  • Priority support

Enterprise

monthly
Custom
  • monthlyCustom
  • customContact Enterprise
  • Members(Custom)
  • Builders(10)
  • Viewers(50)
  • Storage(5 GB per project)
  • CPU hours / month(150)
  • Custom worker config(Custom worker config (RAM, cores, session))
  • SSO
  • Threads(Priority access to advanced AI models)
  • Live Apps(Always-on apps)
  • Dev Environments(Dedicated always-on workers)
  • Support(Dedicated account manager)

Price history

Last 0 changes

No price changes recorded yet.

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Keboola

Price not tracked

Data platform combining ETL, AI pipelines, and governance with 700+ connectors for data teams of any size.

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From $22/mo per editor

Collaborative data visualization platform for building interactive notebooks with real-time multiplayer editing and data connections.

SYNQ

From $150/mo

Data platform with Transform, Catalog, and Quality products for building, validating, deploying, and monitoring data pipelines.

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