Parseable
AI-Native Unified Observability Platform for logs, metrics, and traces.
Data Format
Apache Parquet
Primary Integration
OpenTelemetry
About Parseable
Parseable is a modern, open-source observability platform that unifies logs, metrics, and traces in a single solution. Its architecture is built for the cloud, using S3-compatible object storage as the primary data store, which allows for massive scalability at a low cost. Parseable stores data in the open Apache Parquet format, allowing users to query it with a familiar SQL interface. The platform is built to be high-performance and integrates seamlessly with OpenTelemetry for data collection. Key features include real-time alerting, an AI-native engine for advanced analytics, and a focus on developer experience, offering flexibility for self-hosting and customization.
Core Architecture
Storage Backend
Built on S3-compatible object storage for scalability and cost-efficiency.
Data Format
Uses Apache Parquet, an open and efficient columnar storage format.
Deployment
Cloud-native design, suitable for Kubernetes and other modern environments.
Data Handling
Unified Data
Consolidates logs, metrics, and traces into a single platform.
Query Language
Provides a standard SQL interface for data querying and analysis.
Data Ingestion
Integrates with OpenTelemetry as a primary method for data collection.
Key Features
Ai-Native
Includes AI and machine learning capabilities for advanced analytics and insights.
Alerting
Features real-time alerting to notify teams of critical issues.
Open Source
Freely available and community-driven, offering transparency and flexibility.