All use cases

Keep history useful

Analyze logs over longer retention windows

Retain the operational history your team needs and query it with search and analytical SQL—without treating older evidence as a separate workflow.

Discuss this use case

History loses value when it stops being queryable

A production question often reaches further back than the affordable search window. Archived data may still exist, but restoring or moving it delays the investigation.

  • Useful evidence is deleted to manage cost.
  • Older logs follow a different access path.
  • Trend and cohort questions exceed simple text search.
  • Capacity assumptions are rarely tested on real workloads.

The UnifyLogs path

Validate retention as a query requirement

  1. 01

    Define the window

    Choose the sources, daily volume and history required for a real operational decision.

  2. 02

    Load representative data

    Preserve timestamps, service context and flexible attributes on Apache Doris.

  3. 03

    Test the questions

    Run representative retrieval, aggregation and SQL queries across the target period.

What changes

What changes for your team?

  • One path for recent and retained evidence
  • Search and SQL on the same operational dataset
  • Capacity decisions grounded in a measured workload

HOW AI HELPS

Visible assistance, operator control

The Assistant can prepare read-only SQL from the selected Doris instance and database context. Generated SQL remains visible; execution stays under user control.

VALIDATE IN YOUR EVALUATION

  • Measure ingestion, storage and representative queries on your data.
  • Separate cold and warm runs in any benchmark report.
  • Confirm backup, lifecycle and operational responsibilities during deployment planning.

FAQ

Is a public benchmark a sizing promise?

No. Public results are context, not a guarantee. Sizing must be validated with your volume, schema, hardware and queries.

Can teams use SQL as well as text search?

Yes. The product combines log search and analytical SQL over the same retained Doris data.

Technical details: data flow and build plan

LET’S TALK ABOUT YOUR LOGS

Where are your logs slowing you down?

Tell us about your current tools and the problem you want to solve. We’ll agree the next step: a product walkthrough or a technical evaluation with one source.

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