- Model append-heavy logs with time partitions and automatic buckets.
- Add inverted indexes only to fields used for retrieval.
- Use materialized views for repeated dashboard aggregations.
- Separate noisy and interactive work with workload groups when concurrency grows.
All use cases
Keep the evidence, reduce the machinery
Replace a costly or complex log stack
Move a high-volume or long-retention workload to an analytical foundation that combines text search and SQL without exporting your data.
Discuss this use caseYour log platform became another product to operate
You already centralize logs, but indexing, retention and cluster operations force the team to optimize for the tool instead of the incident.
- Index and node planning consumes platform time.
- Retention is shortened to control cost.
- Archived logs are slow or awkward to bring back.
- Search and analytical questions split across tools.
The UnifyLogs path
Migrate where the pain is measurable
- 01
Pick one workload
Begin with a costly, noisy or long-retention log source.
- 02
Reuse the shipper
Connect Vector, Fluent Bit, Logstash, Filebeat, OpenTelemetry or HTTP.
- 03
Validate on your data
Compare ingest, storage and representative search and aggregation queries.
What changes
What changes for your team?
- A staged migration instead of a risky big bang
- One engine for retrieval and analytical SQL
- Retention decisions based on need, not only index cost
Technical details: data flow and build plan
BUILD PLAN / CONTROLLED MIGRATION
Move one expensive workload before you move a platform
Keep the current shipper and dual-route a representative workload. Compare the things your team pays for: retained bytes, ingestion freshness, query latency and operator effort.
01Existing shipper
02Parallel route
03Doris hot + retained data
04Measured cutover
- Generate a compatible Vector, Logstash, HTTP or Kafka path.
- Track FE/BE health and resource pressure in Node Metrics.
- Inspect storage, runtime queries and partitions during the dual run.
- Record query and capacity checks before routing more traffic.
BEFORE CUTOVER
Acceptance gates
- 1No event loss in the sample window
- 2p95 freshness is acceptable
- 3Representative query suite passes
- 4Retention cost and recovery work are understood
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.