Purpose-built all-in-one log management
fast, scalable and efficient

Don't waste time limiting or deciding which data to send to the system. Humio specifically engineered a custom-built time-series database to be highly optimized for continuous, concurrent writes. This paired with highly-efficient data compression allows engineers to send ALL relevant log data and instantly query that data with sub-second latency.

Indexing can be a very computationally expensive activity, causing latency between data entering a system and then being included in search results and visualizations. Humio does almost no indexing so it remains lightning fast without any compromise on search performance.

Full-text search means you can search anything, in any field, without relying on pre-parsed fields. “Schema on read” allows you to extract data, define new fields and use them to filter and aggregate as you query – all at blazing speeds.

Humio aggregates, alerts and visualizes data in REAL real-time, because no matter what volume of data you send to Humio, data is processed instantly. This gives you live observability and insights into the operations and health of your system.

Share dashboards across teams and answer questions like:

• How has performance changed since the latest deployment?
• Which database queries are the slowest?
• Which IPs have tried to log into our system in the past 24 hours?

Use built-in notifiers and custom webhooks to monitor your infrastructure and systems. Proactively fix issues like machines running low on disk space, or unexpected stack-traces and system errors.

Alerts are based on the same mechanism as live queries and therefore provide the same sub-second latency from an event is ingested to an alert is triggered.

Views are like virtual repositories that read data from other repos. You can use views to combine, filter, and transform the data before making it searchable – similar to how views work in a SQL database. This allows you to implement on-the-fly security restrictions and access control at query-time. Use regular expressions to globally remove or redact sensitive information from any field - even in the middle of a log statement – while keeping the original data unmodified in the logs.

Stop worrying about log quotas and deciding what data is important. Just log everything and gain access to the whole story.

Humio uses high data compression so you can cut hardware costs and store more data. Most users reduce their hardware needs by 75% with the same level of ingest. High compression also makes it cost-effective to retain more data for longer, enabling both more detailed analysis and traceability over longer time periods. All of this makes Humio's total cost of ownership significantly lower than other platforms.