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ekoDB - the agentic backend platform for enterprise AI. Collapse your database, cache, search, vector store, APIs, and AI agents into one governed platform that takes AI from pilot to production.
The backend that builds itself.
Most teams can demo AI. Far fewer run it in production, because the backend underneath is five systems stitched together. ekoDB collapses your database, cache, search, vector store, APIs, and AI agents into one governed platform, so you ship from pilot to production on a single system.
The gap
Pilots succeed. Production stalls.
Across major industry research, most enterprise AI programs are still not scaled enterprise-wide.1 The blocker is rarely the model. It is the backend between a prototype and production: a database, a cache, a search engine, a vector store, an API layer, and an agent framework that each have to be integrated, secured, and operated.
Fragmented data and retrieval
Documents, vectors, and search live in separate systems that have to be integrated and kept in sync before anything ships.
Governance bolted on late
Access control, encryption, and audit get added after the pilot works, then block the path to production.
Reliability found too late
Latency, cost, and failure modes surface after the demo, not before, when they are most expensive to fix.
Every use case pays again
Each new AI feature re-pays the same integration tax, so the second and third projects are as slow as the first.
1 Sources: McKinsey, The State of AI (2025) and RAND, Root Causes of Failure for AI Projects (2024). Most surveyed organizations report AI still in pilot or experimentation rather than enterprise-wide production.
The answer
One agentic backend platform
ekoDB collapses the stack into one system: document and key-value storage in place of a primary database and cache, full-text and vector search in place of a search cluster and a vector store, real-time APIs in place of a custom API layer, and an in-database agent runtime in place of an external agent framework. Fewer components to integrate, secure, monitor, and scale from the first pilot to production.
Multi-model in one engine
Document, key-value, full-text, and vector search in a single database, so retrieval sits next to your data.
In-database agent runtime
Agents with tools, goals, scheduled tasks, and native RAG run inside the deployment. No second system to sync.
ACID with real isolation
Transactions with configurable isolation up to Serializable, MVCC, and tunable durability with write-ahead logging.
Security built in
AES-256-GCM at rest, TLS in transit, an immutable audit log, and collection- and field-level access permissions.
Keys stay server-side
Bring your own OpenAI, Anthropic, or Gemini key; it stays server-side and is never exposed to the browser.
Real-time APIs
REST, WebSocket, and SSE APIs for any frontend, with live subscriptions and SWR caching out of the box.
What is ekoDB?
One governed platform for enterprise AI - data, retrieval, real-time APIs, and a built-in agent runtime.
Run AI agents right next to your data, governed by the same auth, encryption, and audit trail as every query, or run the platform as a fast managed database with built-in chat, RAG, and vector search.
EnterpriseAIstallswhendata,retrieval,andagentsliveinseparatesystemsthateachhavetobesecured,integrated,andoperated.ekoDBbringsthemintoonegovernedplatform:documentstorage,key-valueoperations,full-textsearch,vectorsearch,andabuilt-inagentruntime,soteamsgofrompilottoproductionwithoutassemblingastack.
Performance
Performance that holds up in production
Built in Rust for predictable latency under load, ekoDB delivers sub-millisecond reads and writes across every CRUD operation and outperformed some of the world's most widely deployed databases in industry-standard YCSB testing, even while carrying auth, encryption, and search on every request. Consolidation without compromise: ekoDB matches or beats the specialized tools it replaces, with governance on by default. Read more about ekoDB's remarkable performance here.
Pinned run v0.56.0, 1M records, 64 threads. Reads and durable writes measured under YCSB; ekoDB figures include auth, per-operation encryption, and search overhead on every request.
Benchmarks
Proven against the systems you already run
In industry-standard YCSB benchmarking, ekoDB delivered higher throughput than MongoDB and PostgreSQL on every workload. Its key-value engine outpaced Redis on every workload too, while carrying per-operation AES-256-GCM encryption and built-in search that Redis does not provide out of the box.*
*1M records, 64 threads. Document engines in durable mode with matching fsync; key-value in cache mode. Pinned run v0.56.0.
Relative throughput across YCSB workloads A, B, C, D, and F (average ops/sec, higher is better; the fastest engine in each group is set to 100). ekoDB numbers carry auth, encryption, and search overhead on every operation that the compared engines do not.
Documents / JSON / Row
Durable mode, all databases with matching fsync settings. ekoDB throughput includes full auth, encryption, search indexing, and real-time subscription overhead on every operation.
Key-Value
Cache mode, pure throughput. ekoDB's key-value engine beat Redis on every YCSB workload (1.1x to 1.3x higher throughput, at lower latency) while carrying AES-256-GCM encryption and built-in search indexing that Redis does not provide out of the box.
Built-in, not bolted on
Every feature below needs a separate product, extension, or service in a typical stack. In ekoDB they are native.
| Feature | ekoDB | PostgreSQL | MongoDB | MySQL | Redis |
|---|---|---|---|---|---|
| Built-in AuthApplication-level JWT tokens and API key authentication | SupportedJWT + API keys | PartialRoles only | PartialSCRAM only | PartialRoles only | PartialACL only |
| Per-op EncryptionEvery read and write is encrypted at the operation level | SupportedAES-GCM | Partialpgcrypto ext | PartialCSFLE client-side | PartialTDE / app-level | Not supportedTLS in-transit only |
| Real-time SubsLive data streaming via WebSocket subscriptions | SupportedWebSocket | PartialLISTEN/NOTIFY | SupportedChange Streams | Not supportedneeds external | SupportedPub/Sub |
| Cross-DB SyncSync data across different database engines in real time | SupportedRipple - Pg, Mongo, Redis | Not supportedsame-DB only | Not supportedsame-DB only | Not supportedsame-DB only | Not supportedsame-DB only |
| Key-Value StoreNative key-value operations alongside documents | SupportedBuilt-in | Partialhstore ext | Partialsingle-field docs | Not supportedtable workaround | SupportedBuilt-in |
| Document QueriesRich queries on flexible JSON documents | SupportedBuilt-in | SupportedJSONB | SupportedBuilt-in | PartialJSON columns | PartialRedisJSON module |
| Tunable DurabilityChoose durability vs speed globally or per operation | SupportedGlobal + per-op | Partialsynchronous_commit | SupportedWrite concern | Partialinnodb_flush | Partialappendfsync |
| Full-Text SearchSearch across text fields with ranking and stemming | SupportedBuilt-in | Supportedtsvector | PartialAtlas Search | SupportedFULLTEXT index | PartialRediSearch module |
| Vector SearchSimilarity search on embeddings for RAG and AI | SupportedBuilt-in | Partialpgvector ext | PartialAtlas only | Not supportedneeds Pinecone | PartialRediSearch module |
| FunctionsRun logic on the server, co-located with your data | SupportedServer-side | SupportedPL/pgSQL | PartialAtlas only | SupportedStored procs | PartialLua scripts |
| SWR CachingStale-while-revalidate responses built into the server | SupportedBuilt-in | Not supportedapp-level only | Not supportedapp-level only | Not supportedapp-level only | Partialmanual TTL |
| AI ChatQuery your data in natural language with built-in RAG | SupportedNative RAG | Not supportedneeds external | PartialAtlas only | Not supportedneeds external | Not supportedneeds external |
One system to secure, not a stack to assemble
Every capability above ships in a single ~50 MB service - no extensions, no bolt-on databases, no separate vendors to reconcile, no separate processes to deploy, secure, and audit.
The agent runtime
Your AI agents live next to your data
One platform is simpler to reason about, and simpler to operate. Every deployment can run an agent server, hosting AI agents with their own tools, goals, scheduled tasks, and memory, all talking directly to your database from the dashboard or your terminal. Run them for your own team, or embed them in your product so your customers can chat with them too.
Chat with your data
Ask questions in plain English. Your agents answer straight from your own collections using ekoDB's native RAG and vector search. There's no separate pipeline to build and no second database to keep in sync.
Agents with goals & tasks
Give each agent a system prompt, scoped tool permissions, goals, and scheduled tasks that run on their own. These are real workflows, not just one-off prompts.
Tools & templates
File operations, web search, HTTP fetch, persistent memory, and reusable templates all come built in. Bring your own OpenAI, Claude, or Gemini key and it stays server-side, never exposed to the client.
It tunes and debugs itself
The agent looks after what it builds. It explains slow queries, spots a missing index and creates it, surfaces which data is hot, and reads the server logs to find problems. The database tuning that usually needs a specialist happens in the conversation.
Control model
Automation with control
ekoDB does the repetitive backend work and proposes changes. You keep the decisions that matter, with explicit approval before anything reaches production.
ekoDB automates
- Proposes schemas, APIs, and function scaffolding
- Suggests and applies index and query tuning
- Runs scheduled operational tasks
- Explains slow queries and surfaces hot data
You control
- Data model constraints and access permissions
- Approval gates before production changes
- Tool permissions and server-side keys
- Deployment region, machine tier, and environment policy
Proof
What we can show you
Performance
Benchmarked, not asserted
Multiples of MongoDB and PostgreSQL write throughput at 1M records, with auth, AES-256-GCM encryption, and search built in.
See the benchmarks →Security
Enterprise controls today
AES-256-GCM at rest, TLS in transit, immutable audit logging, and collection- and field-level permissions. Built to SOC 2 controls; SOC 2 Type 1 audit underway.
Review security →Reliability
Live system status
Real-time component health and latency across every service, always on and public.
View status →Design partners
Build with us
We are onboarding a small group of enterprise design partners and building their production requirements alongside them.
Become a design partner →Deployment
From pilot to production in minutes
Provision a governed database and an AI agent in a few minutes, and connect them. The agent runs tools, goals, and scheduled tasks against your data under the same auth and encryption as every query. Prefer just a database? It runs on its own, with built-in AI chat and RAG.
Select a region
ekoDB has worldwide deployment capability. Select a zone to localize your instance and provide the fastest connection for your application.
Pick a machine
Choose the hardware that fits your workload. Start on a free trial instance to evaluate on real data, then scale to production-ready machines sized for your team - free to try for a limited time.
Customize your subdomain and environment
Choose any available custom subdomain and select an environment flag - development, testing, staging, or production.
Deploy
Click deploy and get real-time updates as your database spins up. Watch your deployment go from Initializing to Starting to Running - typically in just a few minutes.
AI agents
Deploy an AI agent the same way
Pick the AI Agent module, then connect it to a database you've deployed. The agent runs tools, goals, and scheduled tasks against your data. An agent always works with a database; a database needs nothing else.
Build your first AI agentMeet the team!
The Team
Do you have feedback or questions for the ekoDB team? We'd love to hear from you! Connect with us on our social networks, or reach out to us by email at contact@ekodb.io!
Frequently Asked Questions
FAQs
From pilot to production
Ship production AI on the agentic backend platform.
Collapse your database, cache, search, vector store, APIs, and AI agents into one governed platform. Start free, or bring your enterprise workload.