Performance Benchmarks
Explore engineering benchmarks that highlight Vespa.ai’s performance advantages over Elasticsearch. Additional benchmarks are planned and will be added as they become available.
Benchmark data offers valuable insight for teams evaluating AI search platforms. This page presents a performance benchmark comparing Vespa with Elasticsearch, reflecting real-world throughput, latency, and infrastructure cost. Based on its shared Lucene core, similar results are expected for Solr and OpenSearch. Additional benchmarks are in progress—contact us if you’d like to learn more or discuss testing your specific workload.
A reproducible performance comparison between Vespa and Elasticsearch for an e-commerce search application with 1 million products.
Additional benchmarks are in progress—contact us if you’d like to learn more or discuss testing your specific workload.
Vespa is a platform engineered for real-time search and inference at scale. Unlike general-purpose engines, Vespa natively supports the needs of AI-powered applications—from semantic retrieval to complex ranking and dynamic decisioning.
Vespa provides all the building blocks of an AI application, including vector database, hybrid search, retrieval augmented generation (RAG), natural language processing (NLP), machine learning, and support for large language models (LLM).
Build AI applications that meet your requirements precisely. Seamlessly integrate your operational systems and databases using Vespa’s APIs and SDKs, ensuring efficient integration without redundant data duplication.
Achieve precise, relevant results using Vespa’s hybrid search capabilities, which combine multiple data types—vectors, text, structured, and unstructured data. Machine learning algorithms rank and score results to ensure they meet user intent and maximize relevance.
Enhance content analysis with NLP through advanced text retrieval, vector search with embeddings and integration with custom or pre-trained machine learning models. Vespa enables efficient semantic search, allowing users to match queries to documents based on meaning rather than just keywords.
Search and retrieve data using detailed contextual clues that combine images and text. By enhancing the cross-referencing of posts, images, and descriptions, Vespa makes retrieval more intelligent and visually intuitive, transforming search into a seamless, human-like experience.
Ensure seamless user experience and reduce management costs with Vespa Cloud. Applications dynamically adjust to fluctuating loads, optimizing performance and cost to eliminate the need for over-provisioning.
Deliver instant results through Vespa’s distributed architecture, efficient query processing, and advanced data management. With optimized low-latency query execution, real-time data updates, and sophisticated ranking algorithms, Vespa actions data with AI across the enterprise.
Deliver services without interruption with Vespa’s high availability and fault-tolerant architecture, which distributes data, queries, and machine learning models across multiple nodes.
Bring computation to the data distributed across multiple nodes. Vespa reduces network bandwidth costs, minimizes latency from data transfers, and ensures your AI applications comply with existing data residency and security policies. All internal communications between nodes are secured with mutual authentication and encryption, and data is further protected through encryption at rest.
Avoid catastrophic run-time costs with Vespa’s highly efficient and controlled resource consumption architecture. Pricing is transparent and usage-based.