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ekoDB - the agentic backend platform for enterprise applications. One system for your database, cache, search, vector store, APIs, and AI agents, so you scale from prototype to production on one platform.

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The agentic backend platform for enterprise applications

One system for your database, cache, search, vector store, APIs, AI agents, and more. Scale from prototype to production on one platform, with fewer systems to integrate and operate for the life of your application.

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The problem

The enterprise application stack has become ungovernable

Modern enterprise applications are a mess of separate systems held together by integration code. They are complicated to architect, painful to build, and expensive to maintain for the life of the application, and the architecture itself leaves real performance on the table.

ekoDB collapses that stack into one platform, with AI agents that help design, build, deploy, and support what you run on it.

Without ekoDB

PostgreSQL / MongoDBdatabase
Rediscache
Elasticsearchsearch
Pineconevector store
Custom WebSocket serverreal-time
APIs, auth, glue codeintegration

Each one also needs its own scaling, patching, monitoring, and on-call coverage, for as long as the application runs.

With ekoDB

One platform

DatabaseCacheSearchVector storeReal-time APIsAgents
See how ekoDB changes the equation →

What's inside

Everything your backend needs, in one binary

Multi-model storage

Document, key-value, and vector data in one engine, with one query path over all of it.

Full-text and vector search

Hybrid search for RAG and semantic retrieval, built in. No second database to keep in sync.

In-database agents

Agents run inside the deployment, under the same auth, transactions, and encryption as your data. Their memory and the functions they write are rows in the same engine.

Real-time APIs

REST, WebSocket, and SSE with live subscriptions, available the moment a collection exists.

Security from the start

AES-256-GCM encryption, audit logging, and field-level permissions, on by default rather than bolted on.

Built in Rust

Predictable latency under load, and performance that meets or beats the tools it replaces.

Read how the data engine, search, and security fit together →

The agentic experience

Tell your agent what you want to build, and your backend builds itself

Spin up a cloud-hosted agent server in a couple of clicks, connect your own OpenAI, Anthropic, or Gemini key, and start working with an agent that can operate the platform for you.

One chat, full control

Talk to your platform in plain language instead of moving between dashboards, consoles, and docs.

Designs and builds your backend

Describe what you need. Your agent proposes and creates schemas, server-side functions, and the schedules that run them without it.

Manages and scales deployments

Your agent monitors, tunes, and scales what you have running, within the limits you set for it.

Runs on your schedule, wakes on your data

Give it goals and scheduled tasks, and it keeps going without being re-prompted. A write to your data can start a full agent turn on its own, in its own session.

Learn more about ekoDB's AI agents →

Performance

Performance that holds up in production

In industry-standard YCSB benchmarking, ekoDB carries auth, per-operation AES-256-GCM encryption, and search indexing on every request that the engines it is measured against do not.

2.9x
faster writes than MongoDB
Update-heavy workload
8.6x
faster writes than PostgreSQL
Update-heavy workload
11.9x
faster writes than MySQL
Update-heavy workload
1.1x–16.2x
faster than Redis
across five YCSB workloads · 1.1x on read-only, 16.2x on read-heavy
~50 MB
single service, no bolt-on databases

Run 0.70.1, 1M records, 64 threads. ekoDB figures include auth, per-operation encryption, and search overhead on every request. Measured under YCSB.

See full benchmarks and methodology →

Frequently asked questions

FAQs

Most enterprise AI stacks are stitched together from a primary database, a separate vector store, a retrieval layer, and an agent framework, each with its own authentication, scaling, and failure modes. ekoDB runs them as one governed platform: document and key-value storage, full-text and vector search, native RAG, and an in-database agent runtime share the same authentication, per-operation encryption, and audit trail. That removes the second vector database and the custom RAG plumbing, and it means every retrieval and every agent action is governed the same way your data is. ekoDB works with OpenAI, Anthropic (Claude), and Google (Gemini), and teams can bring their own model keys.

ekoDB is a fully managed platform: provision a deployment and start building without standing up infrastructure, installing extensions, or orchestrating separate services. The platform is free to try for a limited time, so teams can evaluate on real workloads before committing. Client libraries are available for TypeScript, Python, Rust, Go, and Kotlin with consistent APIs across all languages, and real-time subscriptions, full-text search, vector search, key-value storage, and document queries all work out of the box.

ekoDB is engineered for performance at every level. You can tune durability vs speed globally or on a per-operation basis, so you're always in control of the trade-off that matters for your workload. Intelligent caching keeps hot data instantly accessible, and storage modes let you optimize for low-latency reads or match the engine's layout to your workload. Ripple, ekoDB's replication engine, streams changes between ekoDB instances in real time, so you can scale reads across regions and keep a warm standby without downtime.

ekoDB encrypts your data at rest and in transit and layers on governance built for regulated environments. Every record ID is encrypted by default, and per-operation encryption lets you protect sensitive fields individually. Built-in authentication handles tokens and API keys with no third-party auth service required, and role-based, collection- and field-level permissions let you enforce least-privilege access. Every operation can be audit-logged, rate limiting protects against abuse, and durable write-ahead logging keeps your data safe through unexpected crashes. A SOC 2 Type 1 audit is underway.

Think ekoDB could help your organization?

If you want to pilot ekoDB inside your organization, or just want to know more about what it does at enterprise scale, we would like to hear from you.

Contact us →

From prototype to production

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Custom AI ToolsCustomer CopilotsTalk With Your DataRAG PipelinesAgentic WorkflowsInternal CopilotsAI AssistantsAnalytics DashboardsKnowledge BasesDocument IntelligenceSupport AutomationSemantic SearchDecision SupportData PlatformsWorkflow AutomationSearch & RetrievalReal-Time PersonalizationCustom AI ToolsCustomer CopilotsTalk With Your DataRAG PipelinesAgentic WorkflowsInternal CopilotsAI AssistantsAnalytics DashboardsKnowledge BasesDocument IntelligenceSupport AutomationSemantic SearchDecision SupportData PlatformsWorkflow AutomationSearch & RetrievalReal-Time Personalization
Real-Time SyncVector SearchREST & WebSocket APIsACID TransactionsFine-Grained PermissionsAI-Native RAGIn-Database AgentsAudit LoggingBuilt-in AuthAES-256-GCM EncryptionReal-Time SyncVector SearchREST & WebSocket APIsACID TransactionsFine-Grained PermissionsAI-Native RAGIn-Database AgentsAudit LoggingBuilt-in AuthAES-256-GCM Encryption
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