BigData Boutique blog·1yElasticsearch vs OpenSearch - 2025 update
An in-depth 2025 update comparing Elasticsearch and OpenSearch, touching on project status, performance, licensing, vector search capabilities, cost efficiency, and ecosystem solutions. OpenSearch has gained traction with open-source governance and additional vector search engines, while Elasticsearch maintains proprietary features and extensive integration solutions.
BigData Boutique blog·1yElasticsearch ELSER vs External Vector Embeddings
Elasticsearch's ELSER is a native embedding model for hybrid search, offering memory efficiency and simple integration. However, external models like OpenAI and Cohere provide richer semantic understanding, complex relationship handling, and multilingual support. The choice between ELSER and external embeddings depends on specific application needs, including database commitment, language constraints, and query complexity. ELSER is cost-effective and easy to set up, whereas external models might involve extra costs and complexity due to additional computational requirements.
BigData Boutique blog·1yOpenSearch & Elasticsearch Scroll and Deep Paging Methods Compared
Deep paging in Elasticsearch or OpenSearch can be resource-intensive. Various methods are available for deep paging, including the `from` and `size` parameters, Scroll API, PIT API, and `search_after`. Each method has its pros and cons, with `search_after` being the best for real-time pagination and the Scroll API suitable for bulk data retrieval. Choosing the right method based on the use case is crucial for maintaining cluster performance.