Loggbase

Loggbase is a distributed, append-only log-structured data store designed for high-throughput ingestion of log and time-series data and for long-term analytics. It organizes data into streams, partitions data across a cluster, and stores records as immutable log segments.

Architectural components include a storage layer that appends records, a replication layer for fault tolerance, and a metadata store coordinated by a consensus protocol. Data is partitioned; a compaction and retention subsystem controls space, while a query layer enables time-range queries and aggregations.

Features include schema management with evolution, retention policies, and configurable ingestion guarantees. Interfaces include REST and gRPC with libraries in multiple languages. It supports observability through metrics, TLS, and access control; data can be tiered to object storage for archival.

Deployment emphasizes cloud-native operation on Kubernetes and bare-metal setups, with scalable storage across nodes and options for tiered storage. The project ships documentation, client libraries, and community connectors for data pipelines and dashboards.

History and reception: Loggbase emerged from an open-source community as an experimental log store focusing on scalability and analytics. Adoption exists in monitoring and telemetry contexts, though it competes with established systems. Critics point to deployment complexity and configuration sensitivity, highlighting the need for careful capacity planning in production environments.