Union.ai is the enterprise Flyte platform.

Experience the AI runtime with the scale, performance, and durability for production.

Compare Features

Both platforms share the same Python-native authoring, dynamic workflows, and typed exception handling. Flyte workflows run on Union.ai without rewriting.

Compute-aware AI orchestration
Dynamic, python-based workflows
Real-time inference
Ultra-low latency
Self-healing workflows
Automatic retries
Live remote debugging
Debug remote tasks, line-by-line, on actual infrastructure
Fanout
~10k actions
50k+ actions
Multi-cluster
DIY
Action-level cluster routing
Multi-cloud workflows
Multi-region
Concurrent actions per run
~500
10,000+
Cold start latency
~5min
<5s
Reusable containers
<100ms task startup time
Infra maintenance
Whiteglove for BYOC deployments
Control plane operational costs
DIY, more expensive
Included, no extra cost
UI
Flyte UI and TUI for local runs
Union UI: group runs by task, view task code, create trigger form, rerun form, action level usage metrics (mem, cpu, gpu)
Data lineage
Realtime & persisted UI logging
Through cloud provider
Realtime, persisted logs securely in your cloud
Build container images in your cloud
Images are built and stored in your cloud registry
Compute plugin observability
Ray UI, Spark UI, Spark History server natively hosted
Observability dashboards
Per resource (CPU/Mem/GPU) usage dashboard
Per Node-type-usage dashboard
Cluster health dashboard
SSO
Standard (OIDC)
Custom (OIDC, SAML/p)
Role-based access control (RBAC)
Fine-grained
Managed secrets
Securely stored in your cloud
Whiteglove onboarding
Dedicated support

Frequently asked questions

Union.ai outperforms any OSS alternative on scale and performance in production. It supports 50K+ actions per workflow, 10,000+ concurrent actions per run, and cold start under 5 seconds. Reusable warm-start containers, per-action GPU and CPU profiling, cost attribution per team and workflow, and fail-fast resource validation at launch are the capabilities that separate a platform you can run experiments on from one you can run a business on.

Most orchestrators launch a new Kubernetes pod per action, ~10 seconds of overhead before your code runs. Union.ai supports reusable containers: warm containers you can use across similar tasks. Cold start drops to under 100ms and GPU stays allocated across invocations. For teams building agentic AI, RAG pipelines, or multi-step inference workflows, this adds essential production efficiency.

Flyte workflows run on Union.ai without rewriting. The SDK is compatible and the authoring model is identical. The migration is mostly operational and straightforward. Most teams run their first workflow on Union.ai within an hour of starting setup.

Flyte OSS is free to license. Operating it (or any open-source orchestrator) is not free. A stable production deployment requires a significant amount of manual maintenance that gets more costly as you scale. Engineers must manage Helm values, Postgres, ingress config, a separate secrets solution, an external log aggregation stack, and ongoing K8s maintenance. Union.ai offloads this maintenance so your team focuses on workflows, not infrastructure. The break-even on engineer time tends to come faster than most teams expect.

Scale is one part of the value. The features that tend to matter first for smaller teams are data lineage, persistent logs and built-in observability, and managed secrets that pass a security review without custom engineering. RBAC and cost attribution matter as soon as a second team starts touching the same platform. The operational overhead of self-managed Flyte tends to grow faster than the team itself does.

Union’s zero trust security architecture means data NEVER transits outside your secure cloud. No model weights, pipeline outputs, or execution logs leave your environment. This is more secure than the industry status quo, where you’re required to trust a vendor to handle your data safely.

Start today and scale with confidence.