With rich S3 compatibility, enterprise-grade data protection features, and a globally scalable architecture, ObjectScale supports several modern and traditional use cases. ObjectScale is designed to support data-intensive applications and workloads:
- GenAI, AI, and ML—ObjectScale delivers performance at scale to support next-generation machine learning and artificial intelligence workloads. ObjectScale can deliver datasets at high transfer rates to the most demanding CPU and GPU servers, exposing AI training algorithms to more data without introducing the complexity of HPC storage. Clusters can be scaled-out with ease to linearly scale performance and capacity.
- Analytics—Run rapid queries on a performant ObjectScale data lake to generate operational insights at the speed the business demands. With the ability to deploy analytics on NVMe-based, all-flash drives, storage performance is no longer a bottleneck. Custom tags add context to data for greater discoverability and faster results. S3a enables Hadoop workloads to directly read and write data to ObjectScale, replacing the need for complex HDFS cluster management.
- Cloud-native web and mobile applications—ObjectScale is purpose-built for cloud-native applications. With rich S3 compatibility for data access and Kubernetes APIs for container management, developers can integrate object stores into their continuous integration and continuous delivery (CI/CD) pipelines in a self-service manner, accelerating application development. ObjectScale replication capabilities enable data to be distributed across a number of sites to promote fault tolerance and low-latency access.
- Dev/Test—ObjectScale serves as an ideal platform for modern application development that requires S3. Automated provisioning and an integrated workload sizer provide for easy deployment of object stores and buckets. Multitenancy provides resource isolation, while identity and access management (IAM) policies enable secure data access.
- Consolidated data lake—ObjectScale can serve as a centralized data lake storing sensor telemetry, machine-generated logs, and application data. Federate multiple sites to eliminate data silos and provide anywhere access to data from edge to core. Objects are tagged to enhance analysis and make data more discoverable.
- Backup and archive—ObjectScale is a TCO-optimized S3 backup target and long-term archive. Featuring ObjectScale Lock for data immutability, data-at-rest encryption (D@RE), global replication, and erasure-coding protection schemes, ObjectScale safeguards data from ransomware attacks and ensures resiliency from node or disk failures.