Here’s the difference between Apache Spark and Kestra. The comparison is based on pricing, deployment, business model, and other important factors.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
Overview | ||
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Categories | Data Modelling and Transformation | Workflow Orchestration |
Stage | Late Stage | Early Stage |
Target Segment | Mid Size, Enterprise | SMBs, Mid-size, Enterprise |
Deployment | On Prem | Open source |
Business Model | Open Source | Open Source |
Pricing | Freemium | Contact Sales, Freemium |
Location | US | Lille, Nord |
Companies using it | ||
Contact info |