Question 1

How is ekoDB different from assembling a database, a vector store, and an agent framework yourself?

Accepted Answer

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.

Question 2

How quickly can a team get started?

Accepted Answer

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.

Question 3

How does ekoDB scale to production workloads?

Accepted Answer

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 multiple storage modes let you optimize for low-latency reads or high-volume writes. Ripple, ekoDB's cross-database sync engine, replicates data across PostgreSQL, MongoDB, and Redis in real time - so you can scale reads, integrate with existing infrastructure, or migrate incrementally without downtime.

Question 4

How does ekoDB handle security and governance?

Accepted Answer

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.

The people building ekoDB

The principles behind the product

Consolidation over sprawl

Performance is a feature

AI belongs next to data

Building for the long term

Security posture

Where the product is

See it for yourself

The Team

Sean Vazquez

James Holden

Edward Bowlby

Build with us, or just say hello