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Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind
GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
This project is a Kubernetes operator designed for deploying and managing production PostgreSQL database clusters using declarative configurations. It functions as a controller that synchronizes the actual state of database clusters with a desired state, providing a system for high availability orchestration, automated backup and recovery, and containerized database administration. The operator distinguishes itself through a comprehensive data protection suite that supports point-in-time recovery, multi-mode backups to cloud object storage, and cluster cloning. It ensures continuous availabil
The etcd-operator is a custom resource controller designed to automate the deployment, scaling, backup, and recovery of distributed key-value storage clusters on container orchestration platforms. By extending container orchestration APIs with custom resource definitions, the system manages multi-node database instances through declarative configuration files and a continuous controller reconciliation loop that drives cluster provisioning, scaling, and maintenance.
The main features of coreos/etcd-operator are: etcd Cluster Installations, Distributed Storage Clusters, Operators, Cluster Backups, Cluster Restorations, Reconciliation Loops, Database Backup and Restore, Database Systems & Management.
Projects with overlapping indexed features include: hazelcast/hazelcast — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to… ravendb/ravendb — RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It… greptimeteam/greptimedb — GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries… crunchydata/postgres-operator — This project is a Kubernetes operator designed for deploying and managing production PostgreSQL database clusters… alibaba/alisql — AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high… vonng/pigsty — Pigsty is a comprehensive database infrastructure orchestration platform designed to automate the full lifecycle of…