AACsearch vs Apache Solr
Solr is battle-tested but requires specialists. AACsearch gives you the same reliability with a modern API and zero operations overhead.
Modern API vs. legacy complexity
Solr has powered enterprise search for 20 years. AACsearch gives a junior developer the same capabilities with a one-afternoon setup.
REST API vs. Solr query DSL
AACsearch uses a clean JSON REST API. Solr queries use its own DSL — q, fq, fl, facet.field — with a steep learning curve.
Minutes vs. days
AACsearch setup: create an index, ingest documents, call the API. Solr requires Java, ZooKeeper (for SolrCloud), schema design, and core management.
Faster out of the box
AACsearch returns results in under 50ms with no tuning. Solr performance requires expert configuration: cache sizing and JVM tuning.
Built-in multi-tenancy
AACsearch isolates tenants at the API key level. Solr multi-tenancy means separate cores or collections with manual access control.
Built-in analytics
AACsearch records every query and provides a dashboard. Solr has no built-in query analytics — you need to parse logs with external tools.
No infrastructure cost
AACsearch is fully managed. Solr means provisioning, operating, and scaling your own cluster — or paying for an expensive managed service.
Launch Search OS in one evening
Create an index, add documents and connect search from your app. Free tier covers a prototype — data persists when you upgrade.