Distributed search and analytics engine enabling full-text search, log analysis, and real-time data exploration at scale.
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Elasticsearch indexes and searches billions of documents in milliseconds. Its inverted index, BM25 relevance scoring, and language analysers deliver Google-quality search experiences for your product catalog, knowledge base, or document repository.
Of documents searchable in milliseconds
Typical search response time at scale
Most popular enterprise search engine
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Let's check what features we can integrate into your custom solution. Didn't find them on our list? Contact us personally, and we will offer you a custom set of features for your application development project.
We build powerful search experiences, autocomplete, faceted filtering, fuzzy matching, synonym support, and relevance tuning, that help your users find exactly what they need in milliseconds.
We deploy the ELK stack (Elasticsearch, Logstash, Kibana) for centralised logging, application performance monitoring, and real-time alerting, giving your ops team full visibility into system health.
We build Kibana dashboards and custom analytics interfaces on top of Elasticsearch, transforming your operational and business data into real-time visual insights for decision-makers.
We design Elasticsearch clusters with optimal shard counts, replica configurations, index lifecycle policies, and node sizing, ensuring performance, availability, and cost efficiency at any scale.
We migrate your search workloads from Solr, Algolia, or custom solutions to Elasticsearch, handling data reindexing, query translation, and zero-downtime swap-over.
