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YUGABYTEDB, INC.
About the Organisation
Yugabyte offers a 100% open source, distributed SQL database designed for mission-critical applications, providing high performance and PostgreSQL compatibility for cloud-native environments across public and hybrid clouds.
Products and Services
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YugabyteDB
YugabyteDB is the AI-native, distributed PostgreSQL database trusted by global enterprises to run their most critical applications. Built for resilience, scale, and innovation, YugabyteDB combines the power of Postgres with the flexibility of multi-model and vector search to deliver a future-proof data foundation for modern applications.
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YugabyteDB AMP (Agentic Multitenant Postgres)
YugabyteDB AMP (Agentic Multitenant Postgres) supports you from serverless scale-to-zero to fully distributed with no rebuild. New, prototyped, and vibe-coded agents are bursty and frequently idle. However, traditionally, you are billed for capacity whether you use it or not. YugabyteDB AMP matches the consumption model of early-stage agents. You pay per CPU minute, idle agents cost nothing, and pricing stays transparent and predictable (without pass-through fees). As your agents grow in usage and business criticality, YugabyteDB provisions a fully distributed, Postgres-compatible database with geo-distribution, ultra-resilience, and global horizontal scale. The handoff is invisible, with no migration or rewrite.
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Meko by Yugabyte
Meko is the context engine for multi-agentic systems. Meko is an agent-native data infrastructure, built on top of YugabyteDB, that enables multi-agent systems to share context. Instead of giving each agent its own isolated memory, Meko gives your entire system a memory that compounds. When one agent learns something from a conversation, a user interaction, or a data update, that learning is immediately available to every other agent in the system. Meko replaces the patchwork many teams have bolted together over time (Postgres here, pgvector there, a separate graph database for memory, an object store for conversations, an observability layer for traces) with a single unified data layer.
