If you're looking for a vector database that can store both vector and structured data for high-scale workloads, DataStax is a top pick. It offers Astra DB, a top vector database that can handle both vector and structured data, for secure, compliant and scalable operations. With features like fast vector search and tight integrations with top AI ecosystem tools, DataStax is well suited for generative AI and chatbots. It also offers a pay-as-you-go pricing plan and optional enterprise support.
Another strong contender is Vespa, which offers a unified search engine and vector database that can handle a range of search types, including fast vector search and structured data search. It's geared for building high-scale search applications and offers features like machine-learned models and auto-elastic data management for high performance and low latency. Vespa offers free usage to get started, so it's a good option for developers who want to try out AI on their data without a lot of upfront cost.
Pinecone is another powerful option, optimized for fast querying and retrieval of similar matches. It offers low-latency vector search, metadata filtering and real-time updates, and supports big cloud providers and a range of data sources. Pinecone offers a range of pricing plans, including a free starter plan, and is secure with SOC 2 and HIPAA certifications, so it's a good option for enterprise-ready applications.
For those who need high-throughput streaming data ingestion and support for multiple data models, SingleStore is a real-time data platform that combines transactional and analytical data in a single engine. It offers fast query performance and support for multiple data models, including vector data, so it's good for intelligent applications like generative AI and real-time analytics. SingleStore offers flexible pricing plans and a cloud-based option with elastic scaling.