Relyt is a new-generation multimodal intelligent cloud-native data warehouse. Built on the latest cloud computing and AI technologies, Relyt features a groundbreaking data-centric multimodal storage, open heterogeneous computing, integrated real-time and batch processing, and adaptive hybrid workload architecture. It helps customers build an integrated, cost-effective, and versatile data platform service accessible to everyone. Relyt can be widely used for traditional ETL data processing, real-time analytics, and the latest GenAI (Generative AI) foundational data storage and computation scenarios.
Highlights
Relyt helps customers build an integrated, cost-effective, and versatile data platform service accessible to everyone. Relyt can be widely used for traditional ETL data processing, real-time analytics, and the latest GenAI (Generative AI) foundational data storage and computation scenarios.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay based on what you use, with no upfront commitment. Two kinds of consumption drive your bill. Compute credits track your use of the compute service, which provisions serverless processing on demand. Storage units track your use of the storage service. Each dimension bills independently, so your compute and storage costs scale separately as your workload changes. This usage model means you only pay for the resources you consume.
Top-of-mind questions for buyers
What counts as one compute credit for billing?
A compute credit tracks your use of the compute service. The platform provisions serverless processing on demand, so credits accrue as your queries and workloads run. When your workload is idle and no processing occurs, no compute credits are consumed. You pay only for the processing you actually use.
Which dimension drives most of my bill — compute or storage?
Compute credits and storage units bill independently and appear on the same invoice. Compute credits dominate for query-heavy or analytical workloads that run often. Storage units dominate when you hold large data volumes but run few queries. Each scales separately as your usage pattern shifts.
Does my compute cost change when my workload stops running?
Compute credits meter actual use of the compute service. When no processing runs, no compute credits accrue. Storage units continue to reflect the data you keep stored, since that data persists whether or not compute is active. The two charges move independently.
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