Big Data File Storage
Big Data File Storage
Big Data File Storage
Document
Product Overview
Product Billing
User Guide
Manage file storage instances
Manage VPCs for instances
Manage TOS Bucket
Monitoring and alerting
Management permissions
Best practices
API reference
V2（2024-08-01）
How to call an API
Manage tasks
Manage namespaces
General interfaces
V1（2022-02-02）
Manage file storage systems
Manage TOS Bucket
Query backend tasks
SDK reference
- Documentation
Big Data File StorageProduct OverviewBasic concepts
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Basic concepts
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Concepts | Abbreviation | Description |
Cloud file storage | CloudFS | Cloud file storage (CFS) is VolcanoEngine's file storage and acceleration service designed for big data and machine learning ecosystems. It supports standard HDFS protocol access and transparent data lake access modes, providing low-cost, high-performance, high-throughput, and highly available big data file access services. |
Torch object storage | TOS | VolcanoEngine object storage (Torch Object Storage) is a distributed cloud storage service provided by VolcanoEngine, offering massive capacity, security, low cost, ease of use, high reliability, and high availability. |
E-MapReduce | EMR | VolcanoEngine E-MapReduce is an enterprise-grade big data analytics system for the open-source Hadoop ecosystem, fully compatible with open source, integrating and managing ecosystem components such as Hadoop, Spark, Flink, and Hive, and supporting the storage, querying, and analysis of massive data. |
Stream computing Flink edition | Flink | VolcanoEngine stream computing Flink edition—a fully managed stream computing engine, 100% compatible with Apache Flink, enhanced with enterprise-grade features, integrated with best practices for ultra-large-scale jobs, streamlined SQL development, out-of-the-box and maintenance-free, VolcanoEngine container service (VKE/VCI) Serverless extreme elasticity, low TCO, high SLA assurance, and a unified enterprise-grade big data engine for both stream and batch computing with a single codebase. |
Batch computing Spark edition | Spark | VolcanoEngine batch computing Spark edition is a fully managed Serverless big data processing platform based on Apache Spark. The batch computing Spark edition provides customers with efficient and stable VolcanoEngine Spark services, combined with VolcanoEngine container services to deliver Serverless extreme elasticity. Through secure containers, VPC networks, and cloud disks, it achieves complete isolation and security, allowing customers to focus solely on Spark job development without concern for resource services. |
Last updated: 2026.02.02 11:10:34
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