Parseable combines a purpose built OLAP, diskless database Parseable DB and Prism UI. These components are designed from first principles to work together, enabling efficient and fast ingestion, search, and correlation of MELT (Metrics, Events, Logs, and Traces) data.
Key Features
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Cost-Effective: Efficient compute utilization, compression and utilizing object storage like S3 offers up to 70% cost reduction compared to Elasticsearch or up to 90% compared to DataDog.
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Performance: With Rust based design, modern query techniques, and intelligent caching on SSDs / NVMe and memory, Parseable offers extremely fast query experience for end users.
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Resource Efficiency:
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Parseable consumes 50% less CPU and 80% less memory than traditional JVM-based solutions like Elasticsearch under similar workloads.
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Built-in compression to compress observability and telemetry data by up to 90%.
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Deploy Anywhere Securely: Supports deployment across public or private clouds, containers, VMs, or bare metal environments with complete data ownership, data security and privacy.
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Easy Setup: Single binary with a built-in UI (PRISM) allows setup within minutes.
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Flexible Data Handling: Ingest logs, metrics, and traces in OpenTelemetry format, supporting structured and unstructured data. It employs an index-free approach, enabling high throughput ingestion with low latency for queries.
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We've introduced /llms.txt and Markdown support in Parseable Docs!
📄 Docs: https://www.parseable.com/llm-text
Now, you can use .md pages to seamlessly transfer Parseable knowledge into your LLM of choice.
Get started with Parseable on your computer right away.
Learn the key concepts of Parseable.
Install Parseable in a HA, distributed setup for production
Learn how to ingest logs and telemetry data.
Details on how to query, analyse and visualise data.
Learn how to integrate Parseable with other tools