Tags: #cloud-native

Your ultimate Go microservices framework for the cloud-native era, providing robust capabilities for building resilient and scalable applications.

A high-performance, cloud-native vector database designed for scalable Approximate Nearest Neighbor (ANN) search on massive unstructured data.

A dynamic service discovery, configuration, and management platform for building cloud-native applications and microservices.

An open-source, cloud-native vector database enabling semantic search at scale by combining vector similarity with structured filtering and AI capabilities.

An open-source, cloud-native, all-in-one MLOps platform designed for the full lifecycle management of machine learning, deep learning, and large language model development and deployment.

A unified, open-source enterprise data warehouse built in Rust, offering analytics, vector search, and full-text search, with agent-ready capabilities for AI workloads.

A cloud-native distributed vector database for efficient similarity search of embedding vectors in AI applications.

Orchestrates complex business processes across people, systems, and devices, offering scalable, on-demand process automation.

A cloud-native framework for building and deploying high-performance multimodal AI applications with built-in scaling and orchestration.

Apache DolphinScheduler is a modern, low-code data orchestration platform designed for agile development and high-performance management of complex data workflows and task dependencies.

A cloud-native, open-source search engine optimized for fast, cost-effective observability data (logs, traces, metrics) on cloud storage.

A cloud-native, distributed SQL database offering horizontal scalability, high availability, and HTAP capabilities with MySQL compatibility for unpredictable workloads.