Show HN: Parseable, an open observability datalake, handles 100M time-series/min
3 hours ago
- Parseable is an exascale columnar data lake for observability, built in Rust with open core and open Parquet standards at low cost.
- It handles high cardinality via columnar design, supports global deployments, and ingests JSON bytes with high compression.
- Cloud-native architecture leverages object storage; deploy on public/private cloud or use managed Parseable.
- A single binary provides full observability: alerts, dashboards, logs, metrics, distributed traces, service maps, error pages, AI analysis, and root cause analysis.
- Uses LLMs and ML models for trend summarization, anomaly detection, pattern analysis, and actionable insights.
- Flexible deployment options: self-hosted OSS, managed cloud, or enterprise with BYOC; includes PromQL, distributed queries, and AI-native interface.
- Trusted by thousands, with quick setup via curl, and integrates with existing telemetry agents, data sources, and visualization tools.
- Data ownership is ensured through open formats, security controls, and object-storage-native data management.