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FAQ

What is Parseable?
Parseable is a modern, lightweight, log storage and observability platform. Written in Rust, it uses modern advancements in data stack to provide a performant, developer friendly and resource efficient platform.
Why are you building Parseable?

Indexing in log engines is a relic of the past, when logging was more of a text search problem than storage or ingestion problem. With complex log formats, wide range of deployment environments, larger number of teams interacting to build software - log volumes are exploding and indexing based systems are just not able to catch up.

We're building Parseable ground up, as a modern log data observability platform. Parseable is deeply focussed on performance, developer experience and resource utilization.

How is Parseable different from Loki?
  • Parseable is written in Rust, with strong emphasis on performance, resource utilization, and excellent developer experience.
  • Parseable has a unified architecture, with all Parseable components (ingestion, query, storage management) available in a single binary. Not only this approach scales very well, it also leads to a much, much better developer experience.
  • Parseable log streams are explicitly created by users. This alleviates the problem of cardinality explosion, while ensuring a certain control over the data by users.
  • With REST API based ingestion, Parseable integrates with all the major logging agents out of the box.
How is Parseable different from Elasticsearch?
  • Parseable is written in Rust, with strong emphasis on performance, resource utilization, and excellent developer experience.
  • With a novel, indexing free approach, Parseable is lightweight and faster than Elasticsearch.
  • Parseable has a unified architecture, with all Parseable components (ingestion, query, storage management) available in a single binary. Not only this approach scales very well, it also leads to a much, much better developer experience.
  • Parseable is built ground up with cloud native architecture, which means it can scale up dynamically based in incoming traffic, run natively in microservice / container based systems and natively use S3 (instead of snapshots) as primary data store.
How do I visualize log data?
Parseable binary bundles a web UI that gives you a tabular view to the log data. For more advanced visualizations, you can use Grafana with Parseable datasource.
What if log data schema changes?
Please refer the document here.
Can I query multiple streams?
Currently, we recommend using Grafana Parseable data source plugin to query and analyze multiple log streams at once. It is as simple as adding multiple queries in the same panel.
Is there a roadmap for the project?
Yes, please refer the roadmap here.