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Rustfs is a distributed object storage system designed for high availability and horizontal scalability. It functions as a cluster-based platform that manages data across multiple nodes, providing a self-hosted infrastructure for large-scale storage requirements.
The main features of rustfs/rustfs are: Distributed Storage Clusters, Cloud Native Object Storage, Object Storage Drivers, S3-Compatible Storage Adapters, Kubernetes Operators, S3 Compatible APIs, Orchestration Operators, Kubernetes Application Deployments.
Projects with overlapping indexed features include: minio/minio — MinIO is a software-defined, cloud-native object storage server designed to manage large volumes of unstructured data.… ceph/ceph — Ceph is a unified, software-defined storage platform designed to provide object, block, and file storage services from… victoriametrics/victoriametrics — VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term… lancedb/lancedb — LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector… deuxfleurs-org/garage — Garage is a distributed object storage system that provides an S3-compatible API gateway. It is designed to… juicedata/juicefs — JuiceFS is a distributed file system designed to mount object storage as a local, POSIX-compliant drive. It functions…
MinIO is a software-defined, cloud-native object storage server designed to manage large volumes of unstructured data. It functions as a distributed storage cluster that aggregates multiple independent nodes into a unified, scalable pool, providing a high-performance infrastructure compatible with standard cloud storage protocols and application programming interfaces. The system utilizes a shared-nothing architecture that eliminates central metadata servers, relying instead on a decentralized hash table to map objects across the cluster. Data availability and resilience are maintained throug
Ceph is a unified, software-defined storage platform designed to provide object, block, and file storage services from a single distributed cluster. By decoupling data management from physical hardware, it enables elastic scaling across commodity hardware, allowing organizations to build large-scale storage infrastructure without reliance on proprietary vendor equipment. The system distinguishes itself through a shared-nothing, distributed architecture that utilizes deterministic hashing for data placement. This approach eliminates centralized metadata bottlenecks, allowing the cluster to sca
VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct
LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters