Question: I need a high-performance vector search solution that ensures high availability and strong data security, what are my options?

Zilliz screenshot thumbnail

Zilliz

For a high-performance vector search solution that also offers high availability and strong data security, Zilliz is a good option. This fully managed vector database service is based on open-source Milvus and offers 10x faster vector retrieval speed and 99.95% monthly uptime. It also meets SOC2 Type II and ISO27001 security standards, making it a good option for use cases like retrieval augmented generation, recommender systems, and multimodal similarity search. Zilliz offers multi-cloud availability and a pay-as-you-go pricing model, so it's a good option for those who need a scalable and cost-effective solution.

Pinecone screenshot thumbnail

Pinecone

Another good option is Pinecone, a serverless vector database designed for fast querying and retrieval. Pinecone supports low-latency vector search, real-time updates and hybrid search with keyword boosting. With an average query latency of 51ms and 96% recall, it offers good performance and security features, including SOC 2 and HIPAA certifications. Pinecone also offers a range of pricing tiers, including a free starter plan, so it's a good option for a wide range of users.

Qdrant screenshot thumbnail

Qdrant

If you're looking for a highly scalable and cost-effective option, Qdrant is an open-source vector database and search engine designed for cloud-native architecture. Qdrant offers high-availability and ease of use, supporting a range of use cases like advanced search and recommendation systems. It integrates with leading embeddings and frameworks and offers flexible deployment options, including a free tier. Qdrant offers robust security and performance, making it a good option for enterprise-level applications.

OpenSearch screenshot thumbnail

OpenSearch

Finally, OpenSearch is a flexible and scalable option for data-heavy applications. As a fully open-source project, it includes features like geospatial indexing, SQL/PPL support and k-NN/vector database support. OpenSearch supports high availability and can run on a variety of infrastructure, including on-premises, hybrid and multicloud environments. It offers a suite of tools and plugins for extending search, analytics and security, making it a good option for building high-performance search solutions.

Additional AI Projects

Vespa screenshot thumbnail

Vespa

Combines search in structured data, text, and vectors in one query, enabling scalable and efficient machine-learned model inference for production-ready applications.

DataStax screenshot thumbnail

DataStax

Rapidly build and deploy production-ready GenAI apps with 20% better relevance and 74x faster response times, plus enterprise-grade security and compliance.

Elastic screenshot thumbnail

Elastic

Combines search and AI to extract meaningful insights from data, accelerating time to insight and enabling tailored experiences.

Redis screenshot thumbnail

Redis

Redis is an in-memory data platform for building high-performance, low-latency applications quickly.

Jina screenshot thumbnail

Jina

Boost search capabilities with AI-powered tools for multimodal data, including embeddings, rerankers, and prompt optimizers, supporting over 100 languages.

Vectorize screenshot thumbnail

Vectorize

Convert unstructured data into optimized vector search indexes for fast and accurate retrieval augmented generation (RAG) pipelines.

Trieve screenshot thumbnail

Trieve

Combines language models with ranking and relevance fine-tuning tools to deliver exact search results, with features like private managed embeddings and hybrid search.

Meilisearch screenshot thumbnail

Meilisearch

Delivers fast and hyper-relevant search results in under 50ms, with features like search-as-you-type, filters, and geo-search, for a tailored user experience.

Neum AI screenshot thumbnail

Neum AI

Build and manage data infrastructure for Retrieval Augmented Generation and semantic search with scalable pipelines and real-time vector embeddings.

Couchbase screenshot thumbnail

Couchbase

Unlocks high-performance, flexible, and cost-effective AI-infused applications with a memory-first architecture and AI-assisted coding.

Algolia screenshot thumbnail

Algolia

Delivers fast, scalable, and personalized search experiences with AI-powered ranking, dynamic re-ranking, and synonyms for more relevant results.

SingleStore screenshot thumbnail

SingleStore

Combines transactional and analytical capabilities in a single engine, enabling millisecond query performance and real-time data processing for smart apps and AI workloads.

Neo4j screenshot thumbnail

Neo4j

Analyze complex data with a graph database model, leveraging vector search and analytics for improved AI and ML model performance at scale.

VectorShift screenshot thumbnail

VectorShift

Build and deploy AI-powered applications with a unified suite of no-code and code tools, featuring drag-and-drop components and pre-built pipelines.

EDB Postgres AI screenshot thumbnail

EDB Postgres AI

Unifies transactional, analytical, and AI workloads on a single platform, with native AI vector processing, analytics lakehouse, and unified observability.

Exa screenshot thumbnail

Exa

Uses embeddings to understand search queries, generating contextually relevant results, not just keyword matches, for more sophisticated searches.

Ayfie screenshot thumbnail

Ayfie

Combines generative AI with powerful search engines to deliver contextually relevant results, enhancing decision-making with real-time access to relevant information.

MinIO screenshot thumbnail

MinIO

High-performance object storage for cloud-native workloads, scalable and compatible with Amazon S3.

Varonis screenshot thumbnail

Varonis

Continuously discovers and classifies critical data, removes exposures, and stops threats in real-time using AI-powered automation.

BigID screenshot thumbnail

BigID

Scalable and accurate discovery and classification of sensitive data across all environments, accelerating data security and privacy with AI-powered tools.