What is Parseable?
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Parseable is an observability platform built to make sense of large volumes of telemetry data (logs, metrics, and traces). It is easy to deploy and use, and scales to petabytes of data ingested, queried and analyzed.
SRE and DevOps teams use Parseable to build observability pipelines and data lakes for their telemetry data. With built-in support for predictive alerting and anomaly detection, Parseable helps teams proactively monitor their complete stack.
Parseable is based on purpose built, disk-less database ParseableDB. It uses columnar storage format with an object storage first approach, making it efficient for both storage and query performance. ParseableDB is built with Rust, leveraging modern programming techniques to achieve high performance and low resource usage.
Key Value Drivers
Up to 70% less compute resources
70% less CPU than traditional Java solutions like Elasticsearch under similar workloads.
Up to 90% compression
Built-in compression to compress observability and telemetry data by up to 90%.
Fast query
Fast query response with Rust based design, modern query techniques, and intelligent caching on SSDs / NVMe and memory.
Object store first
Excellent storage efficiency and cost with object stores like S3, GCS, Azure Blob as the primary storage layer.
OpenTelemetry native
Ingest, manage and query OpenTelemetry logs, metrics or traces natively. Zero configuration needed.
Data privacy and security
Deploy across public or private clouds, containers, VMs, or bare metal environments with complete data security and privacy.
Glossary
- ParseableDB: The core, open source database engine of Parseable, designed for high performance and efficiency in handling telemetry data.
- Prism: The proprietary observability frontend for ParseableDB. Provides a unified interface for managing and querying telemetry data.
- Ingestion: The process of collecting and storing telemetry data into ParseableDB.
- Query: The action of retrieving and analyzing data stored in ParseableDB using its PostgreSQL compatible SQL.