ObjectBox

ObjectBox is a high-performance, low-footprint, offline-first on-device database with built-in data synchronization and on-device vector search, designed for mobile, IoT, embedded, and edge computing applications. It is delivered as native language bindings (Java, Kotlin, C/C++, Go, Swift, Flutter/Dart, and Python) rather than a hosted REST API, giving apps ACID-compliant local persistence that works reliably offline and is described as up to 10x faster than SQLite. ObjectBox was the first on-device vector database on the market, targeting Edge AI use cases such as semantic search, recommendations, and retrieval-augmented generation, and offers optional bi-directional Data Sync between devices and the cloud, including a direct connector to MongoDB. Founded in Germany and backed by Techstars.

ObjectBox is profiled on the APIs.io network. Tagged areas include Company, Database, Embedded Database, Mobile Database, and Edge Computing.

ObjectBox’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

19.5/100 emerging ▬ flat Agent 4/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyDatabaseEmbedded DatabaseMobile DatabaseEdge ComputingVector DatabaseVector SearchOffline FirstData SyncEdge AIIoT

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 19.5/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 7.8 / 20

Commercial Clarity 4.2 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/objectbox: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: objectbox
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/objectbox.png
name: ObjectBox
description: ObjectBox is a high-performance, low-footprint, offline-first on-device database with built-in data synchronization
  and on-device vector search, designed for mobile, IoT, embedded, and edge computing applications. It is delivered as native
  language bindings (Java, Kotlin, C/C++, Go, Swift, Flutter/Dart, and Python) rather than a hosted REST API, giving apps
  ACID-compliant local persistence that works reliably offline and is described as up to 10x faster than SQLite. ObjectBox
  was the first on-device vector database on the market, targeting Edge AI use cases such as semantic search, recommendations,
  and retrieval-augmented generation, and offers optional bi-directional Data Sync between devices and the cloud, including
  a direct connector to MongoDB. Founded in Germany and backed by Techstars.
url: https://raw.githubusercontent.com/api-evangelist/objectbox/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Database
- Embedded Database
- Mobile Database
- Edge Computing
- Vector Database
- Vector Search
- Offline First
- Data Sync
- Edge AI
- IoT
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://objectbox.io/
- type: Documentation
  url: https://docs.objectbox.io/
- type: APIReference
  url: https://docs.objectbox.io/java-api-reference
- type: GettingStarted
  url: https://docs.objectbox.io/getting-started
- type: Blog
  url: https://objectbox.io/blog/
- type: GitHubOrganization
  url: https://github.com/objectbox
- type: Support
  url: https://objectbox.io/contact-us/
- type: TermsOfService
  url: https://objectbox.io/wordpress/wp-content/uploads/2024/10/ObjectBox-Terms-Of-UseAC2024.pdf
- type: PrivacyPolicy
  url: https://objectbox.io/privacy-policy/
- type: Packages
  url: packages/objectbox-packages.yml
- type: SDKs
  url: packages/objectbox-packages.yml
- type: WellKnown
  url: well-known/objectbox-well-known.yml
- type: DomainSecurity
  url: security/objectbox-domain-security.yml
- type: LLMsTxt
  url: llms/objectbox-llms.txt
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 4
  pass: local-v1