Cloud HDFS
standard HDFS access protocol, strongly consistent storage service.
Cloud HDFS (Cloud HDFS, CHDFS) provides you with the standard HDFS access protocol. Without changing your existing code, you can use a distributed file system with high availability, high reliability, multi-dimensional security, and a hierarchical namespace. In just a few minutes, you can create and mount CHDFS in the cloud to meet your big data storage needs. As your business needs change, you can scale storage resources up or down in real time. CHDFS offers unlimited storage space, meeting your massive big data storage and analysis business requirements. Additionally, with CHDFS, you can achieve separation of compute and storage, greatly enhancing the flexibility of compute resources, while enabling permanent storage of data and reducing the cost of your big data analysis resources.
By providing the standard HDFS access protocol, CHDFS allows you to manage and access data as if working within the Hadoop Distributed File System. Meanwhile, CHDFS supports file system semantics familiar to developers and users, eliminating the need to learn new storage paradigms when migrating services to the cloud.
By providing a hierarchical namespace, it enables atomic directory operations to meet the frequent needs of directory creation, copying, and deletion in big data analytics. During massive big data processing, it delivers excellent storage performance to meet your business performance requirements for big data storage and analysis.
By supporting permission ACL, it enables control over authorized addresses and access types; by supporting VPC, it achieves network access isolation; simultaneously, it integrates with CAM to enable authorization across different accounts, meeting customers' secure and granular management requirements and safeguarding your data access.
Tencent Cloud CHDFS delivers up to 99.9% service availability and 99.999999999% data reliability. Its underlying infrastructure employs a distributed multi-replica storage strategy, ensuring rapid data migration and recovery in the event of any replica failure.
On Tencent Cloud, you can rapidly scale storage resources up or down within minutes to accommodate fluctuating big data demands. This ensures your CHDFS storage capacity scales infinitely during peak demand while reducing resources during off-peak periods for cost efficiency.
Tencent Cloud CHDFS supports integration with other Tencent Cloud products, including Elastic MapReduce (EMR), Cloud Data Warehouse Suite Sparkling, and Cloud Virtual Machine (CVM), collaboratively providing comprehensive solutions for user businesses in big data computing and storage.
In massive big data analytics, Tencent Cloud CHDFS integrates with Tencent Cloud Elastic MapReduce (EMR) and customers' Hadoop-based big data analytics built on CVM/CPM2.0. This enables zero-cost migration from HDFS to the cloud, decouples computing from storage, and facilitates rapid building and deployment of analytics applications.
Cloud HDFS adopts a postpaid billing model, charging based on actual storage capacity used, retrieval volume, and bandwidth consumption. Different billing items have varying settlement cycles. For detailed pricing information, please refer to the pricing documentation.