Elastic Enterprise Search is a unified product suite for implementing powerful, modern search and discovery experiences across websites, applications, and internal workplace content, built on the flexible Elasticsearch platform.
Elastic Enterprise Search is a comprehensive solution built upon the robust foundation of Elasticsearch, designed to deliver powerful and scalable search functionality. It caters to developers building search into applications and IT teams deploying enterprise-wide search for internal documents and systems. The product is composed of two main components: App Search, for creating consumer-grade search experiences, and Workplace Search, for unifying content from various sources into a single search portal. Its key differentiator is its tight integration with the broader Elastic Stack (Kibana, Beats, Logstash), allowing users to leverage observability and security data alongside their search applications. This unified approach, combined with tunable relevance controls and pre-built connectors, enables organizations to quickly deploy sophisticated search for both customers and employees.
Developers building search into apps, website managers improving site search, and IT administrators implementing unified search across internal tools like Google Drive, Salesforce, and Confluence.
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2012
Amsterdam, Netherlands
Self-Managed (Basic)
Self-host the core Elastic Stack including Enterprise Search. Includes basic features but lacks official support, machine learning, and advanced security. Requires user to manage all infrastructure.
Free
Standard (Cloud)
Fully managed service with core Enterprise Search (App & Workplace Search), security features, and community support. Pricing is resource-based and scales with usage.
from ~$45/mo
Platinum (Cloud)
Includes all Standard features plus machine learning, vector search, advanced security (document-level security), and enhanced support. Pricing is resource-based at a higher rate.
from ~$110/mo
Enterprise (Cloud)
Custom pricing for the most demanding use cases, including all Platinum features plus private support and specialized deployment options.
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Choose Algolia for its API-first approach that prioritizes blazingly fast search-as-a-service for customer-facing applications, often requiring less infrastructure management than Elastic.
Opt for Coveo if you need an AI-powered enterprise search platform with a strong focus on commerce and service, which offers more out-of-the-box personalization features.
Select Apache Solr if you require a mature, highly customizable, and completely open-source search platform and have the technical expertise to manage the infrastructure from the ground up.
Consider Vectara for use cases that heavily rely on generative AI and neural search (vector search), as its platform is built from the ground up for semantic understanding.
Join thousands of users and see how Elastic Enterprise Search can transform your workflow today.
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