Exabase - 2026 Pricing, Features, Reviews & Alternatives

Exabase is a cloud-based managed API platform that provides the data infrastructure layer for production AI agents, combining vector search, graph relationships, and structured data into a unified system. Designed for engineering teams building AI-powered applications, Exabase eliminates the need to stitch together multiple specialized databases by delivering hybrid retrieval, persistent memory, and knowledge graph capabilities through a single API interface.

Exabase supports the full lifecycle of AI agent development, from prototype to production scale. Core capabilities include semantic and keyword search over vector embeddings, entity and relationship modeling via knowledge graphs, long-term agent memory with automatic fact and preference extraction, and real-time data ingestion pipelines. The platform is deployment-agnostic at the client level, accessed entirely through managed cloud infrastructure, reducing operational overhead for teams that would otherwise maintain separate vector stores, graph databases, and relational systems.

Target users include AI engineers, backend developers, and product teams at startups and mid-market companies building retrieval-augmented generation pipelines, autonomous agents, and knowledge-intensive applications. Exabase's architecture is optimized for low-latency retrieval at scale, with built-in support for multi-tenant data isolation, role-based access, and usage-based pricing that aligns infrastructure costs with application growth.