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The best Azure Data Factory alternatives
The rest of Best ETL Software, in this site's order: each with what it costs, where it runs and its record score.
EasyMorph may suit analysts and data engineers who want to build data workflows visually.
Skyvia suits teams connecting cloud services and databases, or managing data backups and access.
Apache Beam suits data and software developers building batch or streaming pipelines for supported execution back ends.
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.
It suits data teams building cloud, hybrid, or multi-cloud pipelines through a visual interface or APIs.
Spark suits teams and developers working with large-scale analytics, batch jobs, or real-time streams.
It suits organizations managing documents and records across business processes, particularly those with imaging, capture, and retention needs.
CloverDX is aimed at ETL developers, data engineers, data architects, IT leaders and business analysts.
Harmony may suit organizations connecting cloud, on-premises, and legacy systems that need orchestration or API management.
Keboola suits teams building data pipelines and analytics workflows that need connectors, orchestration, or transformations.
Matillion suits individuals, scaling businesses, and large organizations building pipelines for AI or analytics.
FME Flow suits organizations that need to deploy data workflows, automate updates, or build no-code web apps around their processes.
It suits organizations that need to unify customer profiles and activate permissioned data across engagement systems.
It is aimed at large organizations with complex data processing and management needs, including those in financial services, healthcare,…
