Apache Solr has long been a trusted open-source enterprise search platform. However, as search requirements grow more complex and AI-driven capabilities become essential, many organizations are evaluating modern alternatives that reduce operational overhead while delivering superior performance.

Amazon OpenSearch Service offers a fully managed path forward for customers running self-managed Solr, with architectural advantages including faster query performance, lower latency, simplified operations, and built-in AI and vector search capabilities. Whether you're looking to modernize your search infrastructure, reduce the burden of managing clusters at scale, or unlock intelligent search experiences, OpenSearch provides a compelling foundation.

What You'll Learn

Market context: Why organizations are modernizing their search platforms and the trends driving migration from self-managed Solr

Architectural comparison: Key differences between Apache Solr and Amazon OpenSearch Service, including performance, scalability, and AI/ML capabilities

Migration approach: How to address common challenges such as relevance parity, application integration, and operational continuity

Tooling and support: An introduction to the OpenSearch Migration Assistant and available guidance to streamline your migration journey

Who Should Attend

This session is ideal for engineering leaders, search architects, and platform teams currently operating self-managed Apache Solr who want to understand the benefits, trade-offs, and practical steps involved in migrating to a fully managed search service on AWS.