Show HN: Parseable, an open observability datalake, handles 100M time-series/min

Exascale columnar data lake for observability Purpose built for telemetry data. Written in Rust. Open core, open Parquet, and open standards, at a fraction of the cost. Deploy in public or private cloud, or use managed Parseable Address high cardinality with columnar design Address high cardinality with columnar design Global deployments JSON bytes ingested % + Compression on average Events processed Cloud native, data lake architecture that scales as you go Deploy on a public or private cloud. Point it to an object store. Configure your telemetry agents. You are ready to go Complete observability feature set built within a single binary Alerts, Dashboards, Logs, Metrics and Distributed Traces views. Service maps, Error page, AI analysis and RCA Object store native Open, columnar format at the heart Stateless design Fullstack observability Otel native, composable design Understanding the use cases Understanding the scenarios where Parseable is the right choice for your observability needs Leverage LLMs and traditional ML models to deeply analyze and investigate your telemetry data. From summarizing trends, identifying anomalies, understanding complex patterns and unknown unknowns to actionable insights and root cause analysis. Leverage LLMs and traditional ML models to deeply analyze and investigate your telemetry data. From summarizing trends, identifying anomalies, understanding complex patterns and unknown unknowns to actionable insights and root cause analysis. Flexible deployment options Available options include self-hosted OSS, managed cloud, and enterprise deployments with BYOC Best for Serious teams looking for enterprise grade observability. What’s included Enterprise features like PromQL, distributed queries, and AI native interface. Advanced access control and governance. Priority support for critical deployments. 24/7 Premium support 100% Data sovereignty Zero Vendor lock-in Trusted by thousands of teams for mission critical observability Teams across the globe trust Parseable for their observability workloads 0 Global deployments 0 Events processed 0 JSON bytes ingested 0 Total Parquet bytes Integrates with what you already run Huge ecosystem of integrations across telemetry agents, data sources, visualization tools, authentication, LLMs and more Parseable has several in house tools to leverage your observability data better MCP Connect AI agents to live Parseable telemetry through safe, structured tools. Slack Bot Investigate telemetry and bring operational answers directly into Slack. PAI Automatically instrument Kubernetes workloads and collect every signal. PB CLI Query and investigate Parseable telemetry without leaving your terminal. OTex AI-powered observability engineer that plans, instruments, and reviews your telemetry. Your data is safe Keep complete ownership of your telemetry with enterprise-grade controls, open formats, and deployment options designed for security-conscious teams. GDPR Certified SOC 2 Type II Frequently asked questions? Take a moment to explore our Frequently Asked Questions section, where you can discover useful information and find answers to all your inquiries. What are the key features of Parseable? Parseable unifies logs, metrics, and traces in one open observability platform. Teams get SQL and natural-language querying, dashboards, alerts, access controls, forecasting, and object-storage-native data management. How does Parseable improve team collaboration? What security measures protect user data? Can Parseable fit specific business needs? Can I use my existing observability stack? See your data in a new light Parseable unifies telemetry data and keeps full-fidelity data queryable. It all lives in open formats on object storage with your complete control and ownership.