SNCF Landscape
Sheeternetes and Sheet-Native Foundation
Last verified:
What is SNCF Landscape?
A spreadsheet-native container orchestration platform that brings Kubernetes-like infrastructure management to familiar spreadsheet interfaces. It provides a complete integrated stack with networking (Cilium), GitOps (Argo CD), multiple databases (Postgres, MySQL, MongoDB, Redis, Kafka, ClickHouse), storage (LINSTOR), observability (Prometheus, Grafana), and LLM-driven orchestration—all accessible through a unified CLI and spreadsheet UI.
SNCF Landscape pricing
Pricing model: Freemium
SNCF Landscape pros
- Familiar spreadsheet interface abstracts container orchestration complexity (kubectl muscle memory + spreadsheet backend)
- Comprehensive integrated stack eliminates need to assemble separate tools for networking, GitOps, databases, storage, and observability
- Prompt-native, LLM-driven orchestration from spreadsheet cells enables AI-assisted infrastructure management
- Cloud-agnostic deployment across AWS, Azure, Google Cloud, DigitalOcean, and Yandex
SNCF Landscape cons
- Early-stage with many components in experimental status (listed as 'Unsaved Draft' tiers)
- Unconventional spreadsheet-based paradigm diverges from standard Kubernetes/DevOps workflows, potentially steep adoption curve
- No information provided on production readiness, performance benchmarks, or reliability guarantees
Frequently asked questions about SNCF Landscape
How do I propose a new project for this landscape?
Open a New Project Proposal in the GitHub governance repository. Projects begin as 'Unsaved Draft' and progress through maturity tiers based on development progress.