SequoiaDB
SequoiaDB (巨杉数据库) is a distributed, document-oriented NoSQL database built for financial-grade workloads and widely deployed across banking, insurance, securities, and government systems in China — running in production at more than 100 banks. A single cluster scales to 500 physical servers, 3.0 PB of storage, and 1.4 trillion rows, with remote disaster recovery targeting RPO=0 and RTO under 15 seconds. The platform is multi-model: a native distributed storage engine with full ACID transactions, a MongoDB-protocol-compatible document store (dds) with built-in vector indexing for AI workloads, a MySQL-compatible SQL engine (SequoiaSQL-MySQL), and an S3-compatible object interface (SequoiaCM). The core engine is open source under Apache-2.0, and access is provided through native client drivers for Java, Python, C, C++, PHP, and C#/.NET rather than a public HTTP REST API. SequoiaDB is backed by DCM Ventures and Qiming Venture Partners.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles SequoiaDB the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — SequoiaDB scores 13.1/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile SequoiaDB
Each block below is one kind of artifact we hold for SequoiaDB. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for SequoiaDB — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Company 1
The organization behind the API
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