Elasticsearch vs Aerospike: Selecting the Right Database for GenAI Applications

Elasticsearch and Aerospike are two prominent databases with vector search capabilities, essential for applications such as recommendation engines, image retrieval, and semantic search. Both provide robust support for handling vector search, but they differ in their architecture, implementation, data management, performance, scalability, integration, and additional features. Elasticsearch is built on top of Apache Lucene and is a go-to search engine for heavy applications and log analytics. It has added vector search capabilities to support AI use cases like image recognition, document retrieval, and Generative AI. Aerospike is a NoSQL database for high-performance real-time applications with vector indexing and searching capabilities called Aerospike Vector Search (AVS). The choice between Elasticsearch and Aerospike depends on technical requirements, project timeline, existing infrastructure, data consistency needs, processing power, and whether the deployment is needed immediately or can work with preview features.