REAL-TIME LOG SEARCH, ANALYTICS & AI
Centralize application, Kubernetes and infrastructure logs. Keep the history you need, then investigate it with search, analytical SQL and AI.
Instance context is used; executable SQL remains visible.
START WITH YOUR ACTUAL LOG PROBLEM
Collect important application, Kubernetes and infrastructure sources in one searchable platform. Retain history according to operational need.
Keep it running. Send one representative source to UnifyLogs in parallel and compare real searches, SQL, retention and operator effort.
ONE LOG PLATFORM. FOUR DIFFERENCES.
Retain the operational history engineers need instead of discovering that relevant logs have disappeared.
Use indexed retrieval for investigation and analytical SQL for correlation and deeper analysis.
Use natural language to prepare investigation steps, SQL, source onboarding and supported operations.
Deploy UnifyLogs in your environment when data, network and infrastructure control matter.
AI ACROSS THE LOG LIFECYCLE
AI is a native, reviewable interaction layer — not a chatbot detached from your data.
Start with the operational question.
Use schema and instance context to prepare SQL or a next step.
See the query, evidence and intended impact.
Authorized users decide before state-changing work executes.
Verified product workflow: the Assistant uses Doris instance and database context, produces visible SQL and leaves execution under user control.
DON'T BUY A BENCHMARK
Designed for interactive investigation. Actual performance depends on workload, infrastructure, schema, indexes, query design and concurrency.
PLAN A FOCUSED EVALUATION
Tell us your situation. We'll define one representative source, the evidence to measure and the safest next step.
