The best Flyte alternatives
The rest of Best DataOps Platforms, in this site's order: each with what it costs, where it runs and its record score.
It suits teams building and running data integration pipelines across varied environments.
NiFi suits teams automating data flows across systems, including cybersecurity, observability, event stream, and generative AI pipelines.
The Open Source edition is described for individual data engineers, while Enterprise is for data teams.
Kestra may suit teams coordinating workflows across different languages and external tools.
Dagster suits teams building and operating data pipelines that need asset lineage, quality checks, and execution visibility.
Metaflow is aimed at data scientists and ML or AI engineers who need to build and operate data-intensive workflows.
Airflow may suit teams that define scheduled batch workflows in Python and want a web interface for scheduling and monitoring.
Prefect suits developers and teams orchestrating data, machine learning, or agent workflows in Python.
Luigi suits Python teams coordinating long-running batch jobs and dependency-heavy workflows.
Keboola suits teams building data pipelines and analytics workflows that need connectors, orchestration, or transformations.
It suits enterprise IT and DevOps teams coordinating automation across hybrid infrastructure, applications, data pipelines, and file transfers.
It is aimed at enterprise organizations with complex IT automation requirements.
Mage suits developers and data teams building scheduled, monitored pipelines with quality checks and version control.
RunMyJobs suits organizations seeking paid workload automation across Linux, Windows, and web environments.