2024 Data Orchestration Pricing Deep Dive
How pricing Airflow, Prefect, Dagster, Mage and Orchestra all compare
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Introduction
As Data Teams, pricing is unfortunately one of those conversations we need to have all too frequently.
If only every market for software was like the data cloud! Choosing between AWS, GCP and Azure is often an easy one — either determined solely by personal preference, or someone else’s.
This is less evident in Data, where a single vendor for all our needs is a distant reality (unless you want to spend £500k on Foundry); having many suppliers is a harsh reality of life.
Therefore, something that’s really important is understanding how to stitch together a “modular” data stack — or the degree of interoperability inherent in your stack.
The interesting thing about Data (being an oft-both streaming and batch-based discipline) is that orchestration is necessary.
Furthermore, observability/visibility/metadata is also important (the software analogy is having a centralised place for all…
