Cluster operations
See nodes, shards, indexes, templates, data streams, pipelines, and health in one operator workspace.
NextSearch migration program
Your search stack should not get slower as the bill gets bigger.
Move from Elasticsearch or Elastic Cloud to NextSearch—an AI-native enterprise search engine built for speed, operational clarity, and control. We benchmark your real workload before you commit.
Production-shaped benchmarkStaged cutoverRollback plan24 / 7 support option
Live NextSearch workspacecluster: healthy
3,174
queries / sec
39.41 ms
p99 latency
327 MiB
RAM snapshot
Same hardware. Same workload.
Elasticsearch met the benchmark. NextSearch moved the line.
In the published same-hardware comparison, NextSearch delivered 1.94× the throughput of Elasticsearch 9.3.1 while using roughly one-third of the memory.
Benchmark results are evidence, not a blanket guarantee. We repeat the test with your data, queries, and acceptance criteria before recommending a move.
MetricNextSearchElasticsearch 9.3.1Measured advantage
Queries / second3,1741,6391.94× throughput
p50 latency8.65 ms15.59 ms44% lower
p95 latency19.67 ms39.62 ms50% lower
p99 latency39.41 ms59.75 ms34% lower
RAM snapshot327 MiB982 MiB67% less
Deployable runtimeSingle JAR989 MB imageSimpler footprint
1.94×
higher measured throughput
34%
lower measured p99 latency
67%
lower RAM snapshot
What NextSearch is
Search engineering, not another black box.
NextSearch brings cluster administration, migration testing, relevance work, hybrid retrieval, RAG workflows, and AI-assisted operations into one deployable platform.
Query DSL workbench
Run current queries against the target and compare response shape, latency, and search behavior before cutover.
Hybrid retrieval
Combine lexical, vector, semantic, and neural-search patterns for product discovery, knowledge search, and RAG.
NextLLM Copilot
Use an embedded assistant for health checks, index discovery, troubleshooting, and routine administration.
Search observability
Track workload health, query behavior, performance, relevance signals, and content gaps continuously.
Connected data workspace
Bring catalogs, documents, CMS content, application data, and enterprise sources into one governed flow.
Migration workspace
Test Query DSL before traffic moves
Run match-all, count, field-capability, and custom JSON queries against the target in a focused validation workspace.
One operator flow
Indexes, data, and AI in one workspace
Inspect index inventory, connect NextCMS and NextLLM, and use the copilot without bouncing between fragmented consoles.
Migrate with proof, not promises.
A responsible search migration is not a one-click index copy. We prove data fidelity, API behavior, relevance, latency, throughput, security, and recovery before cutover.
01
Inventory
Capture versions, plugins, mappings, clients, pipelines, query patterns, security, data volume, and service objectives.
02
Baseline
Measure indexing throughput, p95 and p99 latency, relevance, resource use, failure modes, and current operating cost.
03
Map compatibility
Compare APIs, analyzers, aggregations, lifecycle controls, dashboards, security, and operational dependencies.
04
Rehearse
Move production-shaped data, replay traffic, compare results, test recovery, and document rollback conditions.
05
Cut over
Synchronize changes, route traffic in controlled stages, and monitor explicit acceptance criteria.
06
Operate
Tune from real workload evidence and establish ownership, capacity, patching, and upgrade routines.
Leave Elastic Cloud on your terms
Own the workload. Control the operating model.
Bring your Elastic Cloud architecture and bill. We will isolate the workload, infrastructure, support, and migration costs—then show whether NextSearch earns the move.
Deployable single-JAR runtime with a lean measured footprint
Lexical, vector, semantic, and AI retrieval in one platform
Migration validation and search operations in the same workspace
Nextbrick engineers from assessment through 24 / 7 operations
Working product
Support that stays after cutover
Choose the safety net your search deserves.
Assessment
- Response
- Planned
- Incidents
- Project-based
- Nodes
- Any estate
- Best fit
- Benchmark and migration decision
Professional
- Response
- 8 business hours
- Incidents
- 3 / month
- Nodes
- Up to 15
- Best fit
- Growing production
Enterprise
- Response
- 4 business hours
- Incidents
- 4 / month
- Nodes
- Up to 20
- Best fit
- Enterprise platforms
Critical 24 / 7
- Response
- 1 / 4 / 8 hours
- Incidents
- Unlimited
- Nodes
- Unlimited
- Best fit
- Mission-critical cutover
Direct answers
Before you move search infrastructure.
What is NextSearch?+
NextSearch is an enterprise search operations and migration platform from NextBricks. It combines index administration, Query DSL testing, cluster health, lexical and vector retrieval, connected data workspaces, and an embedded NextLLM Copilot.
Can NextSearch replace Elasticsearch or Elastic Cloud?+
NextSearch is designed as an evaluation and migration target for compatible Elasticsearch workloads. Nextbrick first inventories APIs, mappings, analyzers, plugins, security, integrations, and operating requirements, then validates the target with production-shaped data and traffic before any cutover.
Are the NextSearch benchmark results directly comparable?+
The published comparison used the same hardware and workload for NextSearch and Elasticsearch 9.3.1. Results should be treated as a benchmark, not a universal guarantee; Nextbrick repeats the test with each customer's data and query mix before recommending migration.
Can we migrate without a big-bang cutover?+
Yes. The migration method supports production-shaped rehearsals, dual-running, staged traffic routing, explicit acceptance criteria, and a tested rollback window.
What does Nextbrick support during migration?+
Nextbrick supports architecture review, compatibility mapping, data movement, Query DSL validation, relevance testing, performance benchmarking, security planning, incident response, cutover, and ongoing NextSearch operations.
Put your workload on the table.
Share your current engine, hosting model, index volume, traffic, latency target, relevance requirements, integrations, budget, and timeline. We’ll turn it into a practical benchmark and migration plan.
Architecture and dependency review
Performance and relevance benchmark
Cutover, security, and rollback plan
Elastic Cloud cost and exit analysis
NextSearch is built by the Nextbrick enterprise search team.