Flyte
Kubernetes-native orchestration for data and ML workflows
Flyte is profiled here as a DevOps tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Flyte is an open-source orchestration platform, built at Lyft and now maintained by Union.ai under the Linux Foundation, that runs strongly typed data and machine learning workflows on Kubernetes. Workflows are written in Python with typed inputs and outputs, and Flyte versions each one, caches results, and reproduces runs so experiments stay traceable. It provisions Kubernetes resources per task for isolation and scale, which makes it a fit for teams running heavy data processing and model training pipelines.
Key Capabilities:
Strongly typed Python workflows with versioning and reproducibility
Kubernetes-native execution that isolates and scales each task
Result caching that skips recomputation across runs
Resource controls for CPU, memory, and GPU per task
Data lineage that tracks inputs and outputs across a pipeline
Multi-tenant projects with role-based access for shared clusters
Alternative tools
- Kestra
Declarative, event-driven orchestration defined in YAML
- CloudQuery
Plugin-based ingestion of infrastructure and SaaS data
- Composio
Tool integration and managed auth layer for AI agents
- SigNoz
Open-source, OpenTelemetry-native observability platform
- Datadog
Unified observability for metrics, traces, and logs
- Dokku
Self-hosted platform-as-a-service on your own server