30 open-source projects similar to coreos/etcd-operator, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Etcd Operator alternative.
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
AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high performance, scalability, and enterprise-grade availability. It retains the core MySQL identity as a SQL-based database for storing, organizing, and retrieving structured data, while adding optimizations for large-scale transactional and analytical workloads. The project differentiates itself through a set of Alibaba-specific improvements, including a columnar engine for accelerating analytical queries directly on MySQL tables, and a distributed, shared-nothing NDB Cluster en
Pigsty is a comprehensive database infrastructure orchestration platform designed to automate the full lifecycle of high-availability PostgreSQL clusters. It functions as an infrastructure-as-code framework that manages cluster coordination, node provisioning, and service discovery through idempotent playbooks. By integrating distributed consensus mechanisms, the platform ensures automated failover and consistent state enforcement across diverse environments, including bare metal and virtualized infrastructure. The platform distinguishes itself through a robust suite of operational capabiliti
wal-g is a database cloud backup tool and write-ahead log archiver designed for disaster recovery and point-in-time recovery. It archives database state and transaction logs to cloud storage providers to ensure long-term data durability. The project provides a manager for compressing, encrypting, and pruning database backups stored in cloud object storage. It specifically enables the restoration of a database to a specific timestamp by fetching base backups and replaying transaction logs. The tool's capabilities cover multi-engine backup and restoration, including the generation of full and
This project is a PostgreSQL Kubernetes operator and database orchestrator designed to automate the deployment, scaling, and lifecycle management of high-availability database clusters. It functions as a controller that uses declarative manifests to provision and synchronize the state of database instances within a cluster. The system manages high availability through streaming replication and ensures constant availability during maintenance via rolling updates. It also serves as a backup and recovery manager, handling point-in-time recovery, logical backups, and cluster cloning using cloud s
GlusterFS is a software-defined distributed file system and scale-out storage cluster that aggregates disk resources from multiple servers into a single global namespace. It functions as a unified storage platform, allowing the same underlying data to be exposed through file, block, and object storage interfaces. The system distinguishes itself through a decentralized architecture that uses consistent hashing to distribute files across network nodes without a central metadata server. It ensures data integrity and availability using self-healing replication, quorum-based consistency to prevent
KurrentDB is an event-native database designed for event sourcing and event-driven architectures. It stores events as immutable, ordered records in streams, preserving a complete audit trail and enabling temporal queries. The database uses gRPC for all client-server and inter-node communication, providing efficient binary serialization and bidirectional streaming, and supports atomic multi-stream writes that ensure consistency across multiple streams in a single transaction. The database distinguishes itself with a built-in JavaScript projection engine that transforms, filters, and aggregates
Flagger is a Kubernetes operator designed to automate the lifecycle of application deployments through progressive delivery. It functions as a controller that monitors custom resource definitions to orchestrate complex release strategies, including canary, blue/green, and A/B testing. By continuously reconciling the desired cluster state with the actual environment, it ensures that deployments adhere to defined specifications while managing the underlying infrastructure required for traffic routing. The project distinguishes itself through a sophisticated metric-driven analysis loop that eval
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
YDB is a distributed SQL database and analytical engine designed for horizontal scalability and strong consistency. It functions as a multi-model system that supports transactional and analytical workloads through a distributed architecture providing serializable ACID transactions. The system is distinguished by its broad protocol compatibility, implementing the PostgreSQL wire protocol for standard SQL drivers and the Kafka protocol for messaging and streaming. It further serves as a vector database, supporting vector indexes and approximate nearest neighbor searches for semantic search and
Kubebuilder is a framework and set of scaffolding tools used to build Kubernetes APIs and controllers. It functions as an operator framework that provides generators for custom resource definitions, admission webhooks, and RBAC manifests to extend cluster functionality. The project distinguishes itself through marker-based code generation, which parses source code comments to automatically produce Kubernetes manifests and boilerplate logic. It employs a hub-and-spoke versioning model to translate data between multiple API versions and uses a three-way merge strategy to automate project migrat
Pipeline is a Kubernetes native CI/CD framework and cloud native pipeline orchestrator. It functions as a custom resource controller that translates declarative pipeline definitions into coordinated pod executions and managed workloads. The system acts as a containerized task runner, allowing for the execution of standalone build steps and reusable tasks that process specific inputs to produce defined outputs. It enables the orchestration of complex workflows by running a sequence of independent containers as modular components within a cloud environment. The platform covers automated softwa
Kube-rs is a Rust client library and runtime for interacting with the Kubernetes API server. It provides a type-safe interface for managing cluster resources and state, including a toolkit for defining custom resource definitions and a framework for building admission webhooks to validate or mutate API requests. The project distinguishes itself through a dedicated controller runtime that implements event-driven reconciliation loops to align actual cluster state with desired configurations. It utilizes a streaming system to monitor resource changes and synchronize remote states into a local qu
The logging operator is a Kubernetes-native controller designed to automate the deployment, configuration, and lifecycle management of log collection and routing infrastructure. By utilizing custom resource definitions, it provides a declarative framework for standardizing how container logs are captured, processed, and forwarded across distributed cluster environments. The project distinguishes itself through its support for multi-tenant logging architectures, allowing administrators to enforce namespace-scoped isolation for log collection and routing configurations. It employs a sidecar inj
The project is a declarative GitOps controller and package manager designed to automate the deployment and lifecycle management of Helm charts within a cluster. It continuously watches custom resources and external artifact sources, comparing the actual cluster state against desired declarations to drive reconciliation. Artifacts and manifests are retrieved from standard package repositories, Git sources, OCI registries, and object storage buckets. The system handles complex application delivery through dependency sequencing, automated failure remediation, and drift detection. It supports cro
kro is a Kubernetes resource orchestrator and API abstraction layer that enables the definition of simplified custom API surfaces. It allows users to map high-level inputs to complex templates of underlying Kubernetes objects, effectively grouping interdependent resources into single, manageable units. The project differentiates itself by automating the generation of custom resource definitions and dedicated controllers from resource graph specifications without requiring manual Go code. It employs a dependency manager that uses directed acyclic graphs to coordinate the creation, readiness, a
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
Sample Controller is a reference implementation and developer toolkit for building custom controllers and operators to extend cluster capabilities with domain-specific resource types and reconciliation loops. It provides a foundational framework for defining, registering, and validating custom resource definitions and their instances to store domain-specific data within a cluster. The framework observes remote API servers for resource mutations, queueing discovered instances for asynchronous processing while listening for creation, update, and deletion events to trigger reconciliation logic.
The Operator SDK is a framework for building, packaging, and managing custom controllers that extend the Kubernetes API. It serves as a toolset for defining new API types and implementing reconcile loops to automate the lifecycles of complex applications. The project provides specialized support for creating operators based on Helm charts or Ansible playbooks, allowing users to maintain a desired cluster state using existing automation tools. It includes a dedicated system for packaging controllers into standardized container image bundles for distribution via the Operator Lifecycle Manager.
Agones is a Kubernetes game server orchestrator designed for hosting, scaling, and managing dedicated multiplayer game servers. It extends the Kubernetes control plane using custom resource definitions to define game server and fleet objects, utilizing a dedicated fleet manager to maintain pools of warm server instances. The system provides a game server SDK and language-specific client libraries that allow server processes to signal readiness, health, and shutdown states directly to the controller. It distinguishes itself through specialized scaling logic, including the use of WebAssembly mo
This project provides a framework for building Kubernetes operators and custom controllers. It offers a set of libraries designed to manage the lifecycle of cluster resources, enabling developers to synchronize the actual state of a cluster with a desired configuration through event-driven reconciliation loops. The framework distinguishes itself by providing a manager-orchestrated environment that coordinates multiple controllers and webhooks within a single process. It includes built-in support for optimistic concurrency control to prevent update conflicts and utilizes in-memory informer cac
PikiwiDB is a distributed NoSQL database and disk-based key-value store that serves as a Redis-compatible protocol server. It is designed to handle datasets larger than available system memory by utilizing a persistence engine that stores the full dataset on disk. The system employs a tiered storage model, caching frequently accessed hot data in memory while maintaining the primary volume on disk. It ensures high availability through a replicated data store architecture, using asynchronous binary logs to synchronize data between primary and secondary nodes. The project supports distributed d
pgBackRest is a distributed backup and restore tool for PostgreSQL. It functions as an incremental backup engine and point-in-time recovery manager, enabling the creation of full, differential, and incremental backups across local and remote repositories. The system is distinguished by its block-level incremental backups, which reduce storage and transfer time by saving only modified data. It integrates with S3-compatible object storage via HTTP and utilizes parallel processing to maximize throughput during backup and restoration operations. The tool covers comprehensive disaster recovery ca
Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures. The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c
kops is a Kubernetes cluster provisioner and lifecycle manager designed to automate the creation, maintenance, and destruction of production-grade clusters on cloud infrastructure. It functions as a declarative infrastructure manager, synchronizing the live state of a cluster with versioned manifests stored in remote object storage to ensure idempotent operations. The project distinguishes itself by offering comprehensive automation for the entire cluster lifecycle, including high-availability control plane deployment, incremental rolling updates, and automated version upgrades. It also serve
This project is a containerized orchestration layer for the Elastic Stack, providing a pre-configured set of Docker Compose files to deploy Elasticsearch, Logstash, and Kibana as a unified data analysis stack. It functions as a centralized log management system for ingesting, indexing, and searching log data using a cluster of interconnected services. The deployment pattern includes an Elasticsearch cluster manager that enables scaling data nodes through replica scaling and internal discovery. It provides a web-based administration interface for monitoring cluster health and status. The syst
The Secrets Store Container Storage Interface driver is a Kubernetes storage plugin that enables pods to mount sensitive data from external secret management services directly into container volumes. By utilizing the standard container storage interface, it allows applications to access credentials as files within the file system, ensuring that sensitive information is held in memory rather than persisted to the node disk. The driver distinguishes itself by providing a unified interface for multi-provider integration, allowing clusters to connect to various external secret management services