If you're looking for another Zilliz alternative, Pinecone is a good option. It's designed as a serverless service for fast querying and retrieval of similar items across billions of items in milliseconds. Pinecone supports low-latency vector search, metadata filtering and real-time indexing, and offers a free starter plan and scalable enterprise plans that can help reduce costs. It also integrates with big cloud providers and supports different data sources, models and frameworks, so it's a secure and enterprise-ready option.
Another good option is Qdrant, an open-source vector database and search engine designed to handle high-performance processing of high-dimensional vectors. Qdrant is designed to be cloud-native and easy to use, with options to deploy with Docker and big cloud platforms. It supports advanced search, recommendation systems and data analysis, and offers flexible pricing options. Qdrant also offers strong security options and detailed documentation, making it a good option for many use cases.
Vespa is another good option, a unified search engine and vector database that can handle vector, lexical and structured data search. It's designed for building production-ready search applications at scale, combining fast vector search with machine-learned models. Vespa supports a variety of machine learning tools and offers auto-elastic data management, so it's a good option for applications that require high end-to-end performance and low latency.
If you're looking for a data management option that's built with AI capabilities, check out DataStax. Powered by Astra DB, DataStax offers fast response times and high relevance for both vector and structured data. It also supports seamless integrations with leading AI ecosystem tools and offers features like Relevant GenAI for generative AI applications and Fast Path to Production for quick deployment. This platform is designed for fast and relevant results, with a pay-as-you-go pricing model that works for projects of all sizes.