Log volumes are exploding. Traditional tools can be slow or expensive. Where do we turn for scale and efficiency?
Briefly introduce ClickHouse as a powerful engine for log analytics. Highlight its key advantages: blazing speed for aggregations, amazing compression (cost savings!), and powerful SQL.
While ClickHouse is great for storing and querying logs, a dedicated, user-friendly exploration UI has been missing. Generic SQL clients aren't ideal for log workflows.
Logchef - A purpose-built log query/visualization UI specifically for ClickHouse. It focuses on querying, leveraging existing ingestion tools (Vector, Fluentbit, etc.) – doesn't reinvent the wheel.
Dual Query Modes: Simple search syntax (easy adoption) AND full ClickHouse SQL (power users). (Show a quick example/screenshot if possible).
Schema Agnostic: Works with your existing log tables. No forced migrations.
Team Features: Built for collaboration (Teams, Sources, Permissions).
It would be interesting to know about schema agnostic log analytics tool.
Would be good to point out differences from common tools like Logstash, Loki, etc. and why they don't work with ClickHouse, why a new project was needed etc.