Distributed PostgreSQL for the Agentic Enterprise

Start serverless and grow to mission-critical. Never re-platform.

From fractional PostgreSQL for agentic applications to the world’s largest clusters with ultra-resilient, multimodal YugabyteDB. Distributed PostgreSQL for agents and AI-native workloads.

One Stack For Every Workload

Most companies running PostgreSQL, distribution, and agent-native operations are juggling multiple systems. From ephemeral agents to global, mission-critical applications, YugabyteDB does it with one. Run on Kubernetes in our cloud, in your VPC, in your data center, or fully air-gapped.
Meko
Multi-Agentic Context Engine

Context is captured once and shared everywhere. Conversations, memory, knowledge, and decision traces as first-class primitives behind a single MCP endpoint.

Outcome: Smarter, faster, and more cost-effective agents.

YugabyteDB AMP
Agentic Multitenant Postgres

Every agent gets a real, isolated Postgres database at a fraction of a core that costs nothing while idle. All provisioned, migrated, and tuned by agents.

Outcome: fleets of cost-effective databases effortlessly run by agents.

YugabyteDB
Ultra Resilient Distributed Postgres

PostgreSQL-compatible distributed SQL. Elastic scale, always-on availability for modern applications.

Outcome: Grow from sandbox to mission-critical with one engine.

Meko
YugabyteDB AMP
YugabyteDB
Meko: Multi-Agentic Context Engine
YugabyteDB AMP: Agentic Multi-Tenant Postgres
YugabyteDB: Ultra Resilient Distributed Postgres

Core YugabyteDB Features

Distributed PostgreSQL
PostgreSQL and Beyond. No Compromises.

Get instantly productive with a PostgreSQL-compatible, multi-master RDBMS that supports stored procedures, triggers, and extensions. YugabyteDB elevates PostgreSQL with built-in connection management, observability, end-to-end security, and more.

Meko: Multi-Agent Context
The Multi-Agent Context Data Layer

Meko is the agent-native data infrastructure built on YugabyteDB, giving multi-agent systems shared context.

  • Context shared across agents and humans through one API layer (MCP, REST, UI)
  • Significantly reduces token burn versus a cold start
  • Shared context through conversations, memory, knowledge, and decision traces
  • Full decision traces with a chain of thought and token tracking, for audit and explainability
  • Fractional Postgres databases on demand for project-specific context, torn down when done
Agentic Multi-Tenant PostgreSQL (AMP)
Agentic Multi-Tenant PostgreSQL

YugabyteDB AMP runs your entire database fleet as a single self-running platform, built on distributed Postgres, and provisioned and operated by agents rather than headcount.

  • Fully Postgres-compatible, no sharding or rewrite required
  • Every tenant gets a real, isolated Postgres database at a fraction of the cost of a core, which costs nothing while idle
  • Four specialized agents (Architect, Voyager, Perf Advisor, Nexus) provision, migrate, tune, and integrate
  • Zero-copy branching for instant disposable clones of production data
  • Runs anywhere: public, private, multi-cloud, or hybrid
  • Built-in backups, point-in-time recovery, and encryption on every database
Built-in Resilience
Built-in Resilience with Flexible Disaster Recovery

Keep your application online and performant despite unplanned failures or scheduled maintenance. Meet (and exceed) your SLAs with YugabyteDB’s high availability and disaster recovery features, designed to work optimally across zones, regions, and clouds.

Scalability
Seamless Scalability

Start small and add nodes as needed. Scale your data, connections, reads, and writes effortlessly without disrupting ongoing applications. As your needs grow, YugabyteDB automatically shards data and scales in all directions (up, down, out, and in).

RAG and Gen AI Apps
RAG and Gen AI Apps

YugabyteDB provides advanced vector indexing capabilities that support enterprise-grade, ultra-resilient RAG and GenAI applications.

  • Easily manage 100s of millions of vectors
  • Ultra-low-latency vector query response times
  • Even distribution of vector indexes across clusters
  • Perform vector similarity searches using SQL
  • Build with YugabyteDB MCP Server
  • Integrations with LangChain, OLLama, LlamaIndex, AWS Bedrock, and Google Vertex AI
Distributed PostgreSQL
Meko: Multi-Agent Context
Agentic Multi-Tenant PostgreSQL (AMP)
Built-in Resilience
Scalability
RAG and Gen AI Apps
PostgreSQL and Beyond No Compromises
Meko: Multi-Agent Context
Agentic Multi-Tenant PostgreSQL (AMP)
Built-in Resilience with Flexible Disaster Recovery
Seamless Scalability
Yugabytedb AI RAG diagram

Techie Loed. Business Approved.

Whether you’re an app developer, architect, operator, or leader, YugabyteDB has you covered. Find Out More

As a technologist, you’ll enjoy:

  • Automatic data distribution with built-in resilience
  • Intelligent scaling with automatic rebalancing
  • Native vector search and RAG without a separate vector database
  • Downtime-free maintenance and rolling upgrades
  • Familiar PostgreSQL, with single-node limits removed
  • Enterprise-grade security built in

As a business leader, you’ll achieve:

  • Lower total cost of ownership
  • Database consolidation across relational, document, key-value, and vector workloads
  • Accelerated cloud-native adoption with reduced migration risk
  • Always-on operations across regions and clouds
  • Data residency and compliance are handled by the database, not the app
  • Engineering time redirected from infrastructure maintenance to product work

Powering Modern AI Workloads

PostgreSQL is the most popular database and the data standard for modern workloads. Distribution is the architecture standard. Agentic AI is becoming the application standard. YugabyteDB combines all this into a single data engine.

01
Enhanced PostgreSQL
YugabyteDB provides full compatibility, not a dialect. Extensions, not forks. 55.6% of professional developers use Postgres. Your skills, tooling, and AI coding assistants are based on it (Stack Overflow Developer Survey, 2025)
02
Region failure without business impact
Zero data loss and automatic failover by design, not by runbook. Resilience that doesn’t depend on 3 am manual execution. 41% of large enterprises estimate downtime costs of $1M to $5M per hour. (ITIC, 2025)
03
One engine, every data model
Relational, vector, and graph in one Postgres-compatible interface. pgvector for embeddings, pg_dist_rag for retrieval pipelines, Apache AGE for graph. Fewer systems to license, learn, and operate.

Cost Comparison vs Traditional Database Architecture

  • 181% three-year ROI
  • $15.62M three-year net benefit
  • ~14 months payback
  • 55% less downtime revenue exposure

Modeled on a $2.5B enterprise running Tier 0 applications, validated against a survey of 339 enterprise and midmarket organizations, plus customer interviews with Netskope, Kfintech, and Fiserv by theCUBE Research.

Download the full report
From Database Infrastructure to Business Advantage

Customer Success Stories

Customer Success Story: Kroger Kroger took the time to convince ourselves that all the features we needed were available from Yugabyte and that it meets our needs. Mahesh Tyagarajan, VP Engineering >5,000 Cores in production <10ms Database latency
Customer Success Story: Justuno By consolidating our Cassandra, Neo4j, Microsoft SQL Server, and CockroachDB systems into a single YugabyteDB cluster we were able to radically simplify our operations. Travis Logan, CTO/Co-Founder ×3 Better Performance 20K Queries/second
Customer Success Story: netskope The core capabilities of YugabyteDB allow us to easily scale and improve our reliability and performance without the tradeoffs of time and effort required by legacy solutions. Jake Roersma, VP of Platform Engineering #1 Category-leading CASB solution 1M+ SASE Users
Customer Success Story: Catalan Health Authority YugabyteDB is built on open-source technologies, which gives Catalonia the perfect combination of vendor independence, future-proofing, and uncompromising performance. Stefan Schraps, VP, Business & Community Mgmt, vitagroup 80K Concurrent users 20Bill. Medical record documents

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