USE CASE · ELASTICSEARCH REPLACEMENT

ELASTICSEARCH
REPLACEMENT.

You know the operational burden: 3,000+ config knobs, JVM tuning, shard calculators, master election storms, and a team of specialists to keep it running. XERJ is a drop-in replacement — same API on port 9200, same query DSL, same client libraries — at a fraction of the resource cost.

RESOURCE COMPARISON · XERJ vs ES 8.13 (4-NODE)
XERJ ES 8.13 (4-NODE)
Idle memory 400 MB 8.5 GB 21.3×
Disk (1M SIEM) 1.1 GB 3.1 GB 2.8×
Cold start 50 ms 15 s 300.0×
Config knobs 47 3,000+ 63.8×
Binaries to run 1 5 5.0×

THE COST OF ELASTICSEARCH

THE XERJ ANSWER

21×
LESS MEMORY
400 MB xerj vs 8.5 GB ES (4-node)
2.8×
LESS DISK
Domain-aware compression on SIEM data
80%
TCO REDUCTION TARGET
Fewer nodes, no specialists, no ecosystem tax
QUERY LATENCY · XERJ vs ES 8.13 · P95
XERJ ES 8.13
Terms agg (top IPs) 0.4 ms 29.8 ms 74.5×
Date histogram 0.6 ms 4.2 ms 7.0×
Range filter 0.6 ms 665 ms 1108.3×
Bool + nested 1.1 ms 12.4 ms 11.3×
kNN (768-dim) 2.3 ms 8.9 ms 3.9×
Hybrid BM25+kNN 3.1 ms 18.2 ms 5.9×

SEE IT LIVE.

The playbook walks the full recipe — schema, ingest command, queries, and the dashboard. The playground runs on seeded data; benchmarks were measured against Elasticsearch 8.13 on 2026-04-14.

OPEN THE PLAYBOOK OPEN THE PLAYGROUND
READY?·REQUEST ACCESS

RUN IT ON
YOUR DATA.

Send us your _mapping and a week of _bulk traffic. We'll run the migration on our infra and send you the head-to-head — query latency, ingest throughput, disk usage, memory — with reproduction scripts.

We only use this email to send you the binary. Ever. ✓ THANKS. CHECK YOUR INBOX WITHIN 24 HOURS.