Fluid

Open SourceFunded

Elastic data abstraction and acceleration for cloud-native Big Data applications

About Fluid

Fluid is an open source cloud infrastructure solution designed to optimize data access and acceleration on Kubernetes environments. It provides a dataset abstraction layer that unifies heterogeneous data sources, enabling multidimensional management of data in cloud-native applications. By leveraging distributed caching and data-aware scheduling, Fluid enhances the performance of data-intensive workloads such as Big Data and AI applications.

Targeted at enterprises operating complex cloud environments, Fluid addresses the challenges of data management and application scheduling by considering both application and dataset characteristics. This results in improved resource utilization, scalability, and observability within Kubernetes clusters. Fluid’s integration with CNCF and its community-driven development model ensure it stays aligned with cloud-native best practices and evolving industry standards.

Key Capabilities

✓Dataset abstraction for heterogeneous data sources
✓Distributed cache for data acceleration
✓Data-aware application and dataset scheduling
✓Multidimensional data management in cloud
✓Observability and scalability on Kubernetes

Integrations

KubernetesCNCF ecosystemDistributed caching systems

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .