Capability 1
Higher QPS, lower latency
3,174 QPS with a 39.41 ms p99 latency and 79,368 requests served on the same head-to-head benchmark hardware.
Enterprise Search Engine
The enterprise search engine, reimagined. Faster, leaner, open.
NextSearch delivers higher search throughput, lower latency, and better relevance than Elasticsearch, OpenSearch, and Solr — with enterprise-grade reliability, predictable commercial licensing, and AI-native retrieval built in.
A drop-in, AI-native replacement for Elasticsearch, OpenSearch, Solr, and Elastic Cloud for teams that need search that scales without the lock-in or the bill.

2×
Faster than Elasticsearch at the same hardware
3×
Less RAM than Elasticsearch
1.85×
Faster than Solr
$650K+
Annual savings vs Elastic Cloud
Operational workflow
Each NextBricks product is built as a deployable platform component, not a loose demo. Teams can operate it standalone or wire it into the full Data AI Platform.
Step 1
Step 2
Step 3
Step 4
Capability 1
3,174 QPS with a 39.41 ms p99 latency and 79,368 requests served on the same head-to-head benchmark hardware.
Capability 2
Runs the same workload on 327 MiB RAM where Elasticsearch and OpenSearch need 900+ MiB — roughly a third of the memory.
Capability 3
BGE-M3 embeddings and a ReAct agent layer bring hybrid lexical + vector search and RAG into the core engine.
Capability 4
A clear commercial license replaces per-node cloud metering and removes seat and consumption surprises.
Capability 5
The live NextSearch console exposes query parity, aggregation parity, alias routing, sharding, lifecycle, snapshot, alerting, anomaly detection, query insights, and workload management controls.
Capability 6
Operators can build reusable NextSearch skills and tools for search workflows, enrichment policies, evidence bundles, and confidence/citation policies.
Where teams use it
Product proof



