Webinar | Migrating from Elasticsearch/OpenSearch to Milvus

Migrating search workloads from Elasticsearch or OpenSearch to Milvus is more than a data-transfer exercise. Teams need to map schemas and analyzers, preserve existing embeddings, validate search quality, keep production data in sync, and cut over without disrupting users. In this webinar, Simon Hearne, Solutions Architect at Zilliz EMEA, presents a practical, end-to-end guide to migrating Elasticsearch and OpenSearch workloads to Milvus or Zilliz Cloud. He walks through the major migration stages, explains the available open-source and managed tooling, and demonstrates three real migration workflows using the same dataset and comparable environments. The session includes live migrations from Elasticsearch to self-managed Milvus with the open-source Vector Transport Service (VTS), from Elastic Cloud to Zilliz Cloud with VTS, and from Amazon OpenSearch Service to Zilliz Cloud using the managed Zilliz Migration Service. Simon also covers schema and analyzer mapping, validation methodology, deployment options, licensing considerations, cloud costs, and lessons from production migrations. If you are a search engineer, AI application developer, data architect, platform engineer, or technical leader evaluating a move from Elasticsearch or OpenSearch, this session provides a practical framework for planning, executing, validating, and safely completing the migration. What you'll learn: ✦ Why vector-heavy Elasticsearch and OpenSearch workloads can encounter scaling, ingestion, latency, and cost challenges ✦ How to assess which indices, query patterns, fields, analyzers, and workloads should move ✦ How the migration process progresses through assessment, schema mapping, data movement, validation, and cutover ✦ How to migrate existing vectors without re-embedding your source data ✦ How the open-source Vector Transport Service moves data from Elasticsearch or OpenSearch into Milvus ✦ How Zilliz Migration Service simplifies managed migrations to Zilliz Cloud ✦ How Elasticsearch and OpenSearch field types map to Milvus collections, including primary keys, full-text fields, dense and sparse vectors, arrays, JSON, dates, and geospatial data ✦ How to preserve analyzer chains and configure native BM25 full-text search in Milvus ✦ How to manage backfills, dual ingestion, dual-run validation, staged cutover, rollback, and decommissioning ✦ How to validate recall, BM25 result overlap, filtering, latency, and throughput before switching production traffic ✦ How Elasticsearch, OpenSearch, Milvus, and their managed services differ in licensing and commercial models ✦ How to choose between self-managed Milvus, fully managed Zilliz Cloud, and Zilliz Cloud BYOC ✦ How three migration paths work in practice: Elasticsearch to Milvus, Elastic Cloud to Zilliz Cloud, and Amazon OpenSearch Service to Zilliz Cloud ✦ What teams such as 123RF and Plaud learned while migrating large-scale image search, agentic RAG, and AI memory workloads ✦ How migration can improve scalability, stabilize query performance, accelerate ingestion, and reduce infrastructure costs Slides from this webinar are available here: https://24054828.fs1.hubspotusercontent-na1.net/hubfs/24054828/webinar-assets/2026-09-02-es-migration/Zilliz-Webinar-Migrating-from-Elasticsearch-OpenSearch-to-Milvus-2026-09-02.pdf Run the migration lab yourself: https://github.com/simonhearne/milvus_es_lab Watch the previous webinar, “Closing the Search Gap”: https://youtu.be/XxcA1NSQnCo Find us on: Zilliz Website: https://zilliz.com Milvus Website: https://milvus.io Zilliz LinkedIn: https://www.linkedin.com/company/zilliz/ Milvus LinkedIn: https://linkedin.com/company/67143129 Milvus X: https://x.com/milvusio Milvus GitHub: https://github.com/milvus-io/milvus Try Zilliz Cloud: https://cloud.zilliz.com/signup