/Companies

ObjectBox

Techstars '17

Munich, DE · Founded 2015 · 5 employees on LinkedIn · 6 known investors

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ObjectBox is a high-performance embedded database and data synchronization solution for mobile and IoT applications that stores and syncs data efficiently on edge devices. The platform serves mobile and IoT developers across Android, iOS, and various embedded systems.

Also known as ObjectBox Limited

Investors · 6

Also in the syndicate · 3

Andreas MihalovitsCalvary VenturesChris Adelsbach

Company profile

researched Sep 2026

ObjectBox builds an embedded, on-device NoSQL database together with a bi-directional data synchronization layer. The database is designed to store and query objects locally on constrained hardware — smartphones, IoT devices, gateways, routers, single-board computers such as the Raspberry Pi, and automotive ECUs — so that applications continue to function without an internet connection. The company positions the product as offline-first and cloud-optional: data can be kept entirely on-device or on-premise, and synchronized to a cloud back end only when desired. ObjectBox markets itself as an edge vector database, offering on-device vector search intended to support locally running AI workloads, and also promotes its offering as a replacement for MongoDB Atlas Device Sync.

The product exposes native-language APIs across Java, Kotlin, C, C++, Go, Swift, Dart/Flutter and Python, and runs on Android, iOS, macOS, Windows, Linux and Docker environments. The core engine is written in C/C++ for performance, with language bindings distributed through package managers such as Maven Central and pub.dev; a Gradle plugin handles code generation for JVM and Android projects. Supporting tooling includes ObjectBox Admin, an ObjectBox Generator based on FlatBuffers schema files, and a documented Sync product. Only 64-bit systems are supported by default.

The company describes application focus areas including AI and mobile apps, point-of-sale terminals requiring transactionally safe offline operation, and automotive software-defined vehicles, where it cites VSS support and operation on ECUs. It claims performance roughly 10x faster than alternatives and a small footprint (under 1MB at the time of its 2018 funding), with associated reductions in CPU, memory, battery and bandwidth use.

Business model

ObjectBox distributes SDKs and language bindings for its embedded database, with core client libraries published on GitHub under open-source licenses (Apache-2.0 for several bindings; the Gradle plugin under AGPL-3.0) and a binary license governing the native database library. The commercial layer centres on ObjectBox Sync, which requires access to the Sync feature, alongside self-hosted and on-premise deployment options.

The website offers a free trial and a demo scheduling path, with the Data Sync capability gated behind feature access, indicating a commercial licensing model layered on freely available client SDKs.

Traction

Press coverage of the 2018 financing reported more than 75,000 developers and 15,000 apps in the year following launch. Public GitHub repositories show sustained community adoption, with the Java/Android binding at about 4,600 stars, the Dart/Flutter binding at about 1,200 stars, the Go binding at about 1,300 stars, and 42 repositories in the organization. The company states its database has run in millions of cars since 2023.

Latest developments

The company markets itself as an edge vector database and promotes a migration path for users of MongoDB Atlas Device Sync. Recent SDK work visible in its public repositories includes a Swift Package Manager distribution, Python bindings, and updated Android setup instructions targeting Android Gradle Plugin 9.0 with TOML version catalogs. The company is recruiting C/C++ developers.

▸Full profile — market position, technology, go-to-market, geography, history

Market position

ObjectBox competes with embedded and mobile databases, benchmarking itself against SQLite, which it characterizes as the industry leader, and pitching its product as a replacement for MongoDB Atlas Device Sync. It claims to have been the first to deliver on-device offline vector search.

The company emphasizes a small footprint (under 1MB at the time of its 2018 raise), claimed 10x speed advantage over alternatives with roughly one-tenth the implementation code compared with SQLite, offline-first operation without required connectivity, cloud-optional and self-hostable deployment for data sovereignty, resource efficiency translating into lower energy use, and on-device vector search for local AI.

Technology

The database runs mostly in native code written in C/C++ and loads a platform-specific shared library (.dll on Windows, .so on Linux, .dylib on macOS). Developers define entity classes annotated in their host language; the ObjectBox Generator uses FlatBuffers schema files for C and C++ bindings. Capabilities include object persistence, queries, relations, transactions, data observers and reactive extensions, an Admin UI, and on-device offline vector search for AI use cases. Bi-directional Data Sync propagates changes across devices and optionally to cloud or on-premise servers. Only 64-bit platforms are supported.

Go-to-market

Developer-led distribution through open-source SDK repositories on GitHub, package registries, extensive documentation and tutorials, community feedback channels, and a free trial plus demo request on the company website. The company also markets directly against MongoDB Atlas Device Sync as a migration target.

Mobile, IoT and embedded application developers, including teams building AI-enabled mobile apps, point-of-sale terminals, and automotive software for software-defined vehicles and ECUs.

Geography

Headquartered in Munich, Germany; at the time of its 2018 funding the company was described as Munich- and London-based, having gone through the Techstars London program.

History

ObjectBox took part in the Techstars acceleration program in London in 2017 and announced a $2 million funding round in December 2018 led by Vito Ventures. Leadership at that time comprised CEO Dr. Vivien Dollinger and CTO Markus Junginger. The product line has since expanded from a mobile and IoT database into an edge vector database with on-device vector search and a Data Sync offering, with automotive deployments reported from 2023.

Compiled by commissioned research from 9 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Apps built with ObjectBoxDec 201815,000 apps
Database binary sizeDec 2018Smaller than 1MB
Developers using ObjectBoxDec 201875,000 developers
GitHub stars (objectbox-dart)Jan 20261,233 stars
GitHub stars (objectbox-go)Jan 20261,300 stars
GitHub stars (objectbox-java)Jan 20264,624 stars
Public GitHub repositoriesJan 202642 repositories

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Related companies · 7

OracleOracle sells enterprise database software, applications and cloud infrastructure, and has grown through large acquisitions including PeopleSoft, Siebel and Sun Microsystems.
MongoDBMongoDB is a cloud database company that provides Atlas, a multi-cloud data platform for transactional, search, and generative AI workloads, along with enterprise on-premises options and integration tools for developers and partners.
DataCampDataCamp is a learning platform for teams that teaches data and AI skills through hands-on coursework accessible via web browser and mobile app. It serves enterprise customers and development teams seeking to build technical capabilities.
AerospikeAerospike offers a real-time data platform designed to process billions of transactions with reduced server footprint. It serves organizations needing high-throughput, low-latency data infrastructure.
CouchbaseCouchbase is a NoSQL distributed JSON document database company offering Couchbase Server, Capella DBaaS and mobile/edge products.
DremioDremio provides an Agentic Lakehouse platform that enables fast, governed access to enterprise data across multiple sources without ETL, with an AI Semantic Layer for business context and autonomous infrastructure management. The platform serves knowledge workers and AI agents seeking instant access to trusted data without traditional data platform complexity.
Tiger DataTiger Data, creators of TimescaleDB, builds a Postgres-based time-series database for fast ingest, efficient storage, and real-time analytics at scale. It targets industrial, energy, and robotics systems, offering tiered storage, columnar compression, and hybrid retrieval across cloud and Postgres ecosystems.

Companies working in the same space as ObjectBox.

Timeline · 3

launches, deals, and filings
Jan 2023
ObjectBox deployed in production automotive systems

The company states its database has been running live in millions of cars since 2023.

source ↗

Dec 2018
ObjectBox raises $2M led by Vito Ventures

The Munich- and London-based edge database developer raised $2 million led by Vito Ventures with participation from Calvary Ventures and angel investors Chris Adelsbach, Lucas von Cranach and Andreas Mihalovits; proceeds were earmarked for expanding operations.

$2M source ↗

Jan 2017
Participation in Techstars London accelerator

ObjectBox is an alumnus of the 2017 Techstars acceleration program in London.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 9

primary sources listed

9 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does ObjectBox do?
ObjectBox develops a high-speed on-device database with vector search and bi-directional data sync for mobile, IoT and embedded apps.
Who are ObjectBox's investors?
ObjectBox's investors include Techstars, Lucas von Cranach, Vito Ventures.
Where is ObjectBox headquartered?
ObjectBox is headquartered in Munich, DE.