Kestra
Kestra is an open source declarative orchestration platform for data, infrastructure and AI workflows. It enables teams to build, run and govern automation across the entire organisation.
10 ranked, with a plain verdict on every entry.
Kestra is an open source declarative orchestration platform for data, infrastructure and AI workflows. It enables teams to build, run and govern automation across the entire organisation.
IOMETE is a sovereign data lakehouse platform designed for the AI era. It operates as a self-hosted solution within trusted environments to ensure control.
Qubole is an open and secure data lake platform for machine learning, streaming, and ad-hoc analytics. It provides end-to-end services that reduce the time and effort required to run workloads on any cloud.
Prefect is a workflow orchestration platform for data, ML, and agents.
dbt Labs provides the open standard for modern data transformation. It enables teams to build AI-ready pipelines using SQL.
Flyte is a durable AI runtime platform designed for orchestration. It enables the execution of training, serving, and agent workloads with automatic recovery from failures.
Meltano is an open-source EL tool engineered for data engineers. It models the data stack as code using Git-based governance.
OLake is an open source ingestion and maintenance tool for Apache Iceberg.
SymmetricDS is an enterprise data platform that streams and integrates data across numerous sources. It supports on-premises databases, cloud storage, and AI pipelines.
Curoverse provides open source software solutions for managing and processing massive biomedical datasets. The platform enables researchers to analyse genomic and imaging data efficiently.
Positions 1, 2 and 3 are available to buy for twelve months.
Kestra says it is built for Data and platform engineers, and IOMETE for enterprise data teams requiring full data sovereignty. Qubole says it is built for Data engineers and analysts.
IOMETE states that the product requires significant engineering effort for customisation and deployment. Meltano states that Meltano Open requires a dedicated DevOps crew for production use. Those are the limits each product publishes itself, not a full account of any plan.