Here’s the difference between Flyte and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Flyte provides a cloud-based machine learning and data processing platform. The open source structured programming and distributed solution enables concurrent, scalable and maintainable workflows for machine learning and data processing. Uses protocol buffers as the specification language to specify these workflows and tasks.
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.
Overview | ||
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Categories | Workflow Orchestration | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | On Prem | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | US | US |
Companies using it | ||
Contact info |