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Parseable
Parseable is an observability platform that aggregates, stores, and queries logs, metrics, and traces using open Parquet formats on user-managed object storage.
Parseable provides a unified infrastructure for logs, metrics, and traces, built on Rust and open standards. It ingests telemetry data and stores it in Parquet format within object storage, allowing for full data control and ownership. Users can query data using SQL or natural language to identify trends, patterns, and root causes through integrated AI models. The platform includes dashboards, alerts, service maps, and error tracking capabilities to support operational workflows. Deployment options range from self-hosted open source versions to managed cloud environments, making it suitable for teams requiring scalable observability.
Parseable at a glance
- Best for: Software engineer, Director
- Runs on: Web, CLI, Self-hosted
- Pricing: OSS free; Cloud $0.39/GB ingested; Enterprise starts at $15,000/year.
- Released: May 2024
- Category: AI research tool
- Website: parseable.com
Key features
- SQL and natural language query interface
- AI-native anomaly detection and summarization
- OpenTelemetry-native instrumentation
- Distributed tracing and service mapping
- Customizable dashboards and alerts
- Role-based access control
- Object storage-native data management
Use it for
- Analyzing root causes of application incidents
- Querying high-cardinality logs
- Monitoring infrastructure metrics
- Investigating system patterns with AI
Alternatives to Parseable
- New Relic — Unified visibility across applications, infrastructure, and AI models.
- OpenObserve — Full observability stack at a fraction of the usual storage cost
- Datadog — Consolidates observability and security data in one unified platform.
- KloudMate 2.0 — Unifies logs, metrics, traces, and an SRE Copilot in one platform.
- Superlog — Automates bug triage, support answers, and infrastructure checks using existing models and subscriptions.
- Tracium — OpenTelemetry-native traces and metrics with self-hosting or managed cloud options.
- ktx — It gives data agents a shared context workspace of approved metrics and git-based files.
- OpenResearch — Run parallel research workflows locally or on remote compute.
- Jonex — Provides traceable, agent-ready knowledge from diverse enterprise data sources.
- HyperResearch — Generates verified reports with citations checked against full source texts and a persistent vault.
- UltraRAG — Build complex RAG workflows using modular MCP components and YAML configuration.
- Leviathan — It indexes records into a single SQLite file for fast, cited agent queries.
All Parseable alternatives