Elasticsearch
Search and analytics engine by Elastic offering full-text, vector, and hybrid search capabilities.
7
Use Cases
7
Companies
4
Industries
Companies Using Elasticsearch
Industries
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Use Cases (7)
Lusha is a B2B sales intelligence platform with 1.5 million users and a database of over 200 million business contacts. By deploying Elasticsearch as both a full-text search engine and a vector database for AI-powered lead recommendations, Lusha helps customers generate 300% more leads, achieve conversion rates up to 10x higher, and realize return on investment of up to 1,000%.
Vectorize.io is a US-based software company that builds agentic and generative AI infrastructure, helping organizations in law, insurance, and finance make vast volumes of unstructured data usable by large language models. By integrating Elastic’s hybrid search and Elastic Cloud Serverless with Amazon Bedrock, Vectorize deploys production-ready AI solutions for clients in hours rather than weeks. One client whose developer community grew by a million users in a year relied on Vectorize’s real-time learning agent—built on Elasticsearch—to answer support queries and instantly index new answers for future use.
Amazon BedrockTinexta Visura is an Italian digital trust and technology company that built Lextel AI, a legal research platform for Italian law firms and corporate legal teams. Powered by Elasticsearch, Google Gemini, and retrieval-augmented generation across a repository of 4.8 million legal documents, the platform enables attorneys to locate relevant case law and automatically generate traceable legal opinions. The system reduces attorney research and drafting time by one hour to two full working days per task, depending on complexity.
WP Engine, the leading WordPress hosting platform serving more than 1.5 million users across 200,000 websites in 150+ countries, deployed Elastic’s Search AI Platform alongside Google Cloud Vertex AI and Gemini to build Smart Search AI and enable retrieval-augmented generation (RAG) capabilities for its customers. The integration allows WP Engine to deliver natural language search, context-aware product recommendations, and AI-powered chatbots to website owners without requiring them to stitch together multiple vendors. Response times dropped to as low as five milliseconds, and the platform handled traffic spikes from hundreds of thousands to tens of millions of queries per minute with zero downtime.
Apna, India’s largest jobs and professional networking platform with 50 million registered users and 600,000 employers, built its candidate search and AI job matching infrastructure on Elasticsearch running on Elastic Cloud on Google Cloud. Semantic search capabilities allow employers to find candidates by intent—not just keywords—while AI algorithms analyze candidate profiles to surface the most relevant matches. The result: a 20% increase in employers paying for premium access, 20% higher platform team productivity, and a 50% improvement in employee productivity.
BigID, a data security, privacy, compliance, and AI data management platform founded in 2016, deployed Elasticsearch on Elastic Cloud and AWS to overcome severe query performance degradation as its customer data volumes grew. By migrating its core data-driven modules to Elasticsearch, BigID cut query times from 20 minutes to seconds — a 120x speedup — eliminated all query timeouts on search, dashboard, and reporting modules, and built a foundation capable of handling billions of records with complex filtering and aggregation.
Bank Leumi, Israel’s leading bank with more than 7,000 employees and $195 billion in assets, replaced its aging SIEM with Elastic Security to gain unified visibility across a cloud-and-on-premises infrastructure generating vast volumes of semi-structured data. By deploying Elastic Security alongside Kibana dashboards and MITRE ATT&CK-aligned detection rules, the bank cut log detection and analysis time by 60%, reduced security incident resolution time by 50%, and lowered total cost of ownership by 40%.