Azkaban vs Flyte
Azkaban
azkaban.github.io
Flyte
flyte.orgSide by side
| Figure | Azkaban | Flyte |
|---|---|---|
| Price from | — | $950/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 5 |
| Spec score · Workflow Orchestration Software | 7.7 (#26) | 9.0 (#3) |
| Spec score · Workload Automation Software | 7.6 (#17) | 9.0 (#2) |
| Deployment | The documentation provides instructions for setting up Solo Server and Multi Executor Server deployments. | Flyte 2 can run locally with a devbox or on a user's cluster; the site provides `pip install flyte` and `flyte start devbox` setup commands. |
| Extensibility | Plugins can add viewer pages, trigger methods, user authentication methods, alerting methods, and job-type executors. | Flyte integrations are implemented through a plugin system and the project invites users to build and submit their own integrations. |
| Integrations | Documented job-type plugin examples include Hadoop ecosystem components, Pig, Hive, and VoldemortBuildAndPush. | The Flyte site lists integrations including Apache Spark, Ray, PyTorch Elastic, BigQuery, Snowflake, Weights & Biases, OpenAI Agents SDK, LangGraph, CrewAI, Pydantic AI, MLflow, Dask, and Databricks. |
| License | The project’s GitHub page identifies its license as Apache-2.0. | The Flyte repositories and SDKs are published under the Apache License 2.0. |
| Purpose | Azkaban is a distributed workflow manager created at LinkedIn to manage Hadoop job dependencies and run jobs in sequence. | Flyte 2 is a durable AI runtime for workloads involving training, serving, and agents. |
| Security | The official site lists authentication and authorization, user action tracking, and SLA alerting with automatic job killing. | Union.ai states that its data plane runs inside the customer's cloud and that workflow inputs, outputs, logs, code, and reports do not pass through its control plane. |
| Support | The project directs users to its Google Group for help and lists Gitter and mailing lists as community channels. | The Team plan lists one business day Sev 1 support, while Enterprise lists custom white-glove support. |
Plans
Flyte
- Flyte OSSFree
- Flyte OSSFree
- Team$950 a month
- Union.ai Team (enterprise Flyte platform)$950 a month
- EnterprisePriced on request
In their own words
Flyte
Flyte 2 is a durable runtime for AI workloads involving training, serving and agents. Users write workflows as plain Python async functions and use a TaskEnvironment to declare images, resources, secrets and retry policies. Flyte resumes from failed tasks and can recover from out-of-memory kills, preempted nodes and disappearing GPUs. Branches, loops and runtime decisions support dynamic workflows and agents. Native serving integrations include Streamlit, FastAPI, vLLM, SGLang and Ollama, with replicas able to scale to zero when idle. Listed integrations also cover Apache Spark, Ray, PyTorch Elastic, BigQuery, Snowflake, Weights & Biases, OpenAI Agents SDK, LangGraph, CrewAI, Pydantic AI, MLflow, Dask and Databricks. It runs locally with a devbox or on a customer cluster. Union.ai says customer-cloud data planes keep workflow inputs, outputs, logs, code and reports outside its control plane. Flyte is available as free Apache 2.0 open-source software.