We’re happy to share our first Swift version of the ObjectBox database for iOS and macOS! We want to give you a Swift “native” API without any ObjectiveC legacy shining through, which is why we decided to put Swift, with its unique language features, first. We really want your feedback on this to improve swiftly, for example on our query API (more details below):
Today, we are bringing the power of ObjectBox to Go. Whatever solution you are building, be it a web service, an IoT/IIoT solution, or any data-driven application, you will benefit from the efficiency and speed of ObjectBox (see benchmarks below). Let us know what you think!
Let’s look at some code, and see how ObjectBox persists Go structs (objects):
The ObjectBox Go API allows you to create data-driven cross-platform apps. ObjectBox supports x64 and 32 bit ARM (ARMv6 and ARMv7) CPUs, enabling you to benefit from a super-fast scalable database on IoT devices, industrial edge gateways or, for example, the Raspberry Pi family (from the minimalistic Pi Zero to the high-spec Pi 3B+). At the same time, you can now target desktop and server apps running on Linux, MacOS, or Windows using Go.
How to get started
To get started, please have a look at the ObjectBox Go docs. Here’s the TL;DR version for your bash:
go install github.com/objectbox/objectbox-go/cmd/objectbox-gogen/
go test github.com/objectbox/objectbox-go/...
This will clone the repository to your GOPATH, download the objectbox-c library and install the ObjectBox code generator.
At this point you can start using ObjectBox in your project – just define a struct you want to persist, add //go:generate objectbox-gogen comment in the same file and run go generate ./… on your project. See Getting started for more details.
We have done some quick CRUD performance tests to give you an impression about the speed ObjectBox provides. On a i7-8850H CPU, ObjectBox consistently processes over 1.5 million CRUD operations per second with 4.4 million object reads per second:
To put these numbers into perspective, we also did a comparison using an edge computing platform and two leading NoSQL databases. We won’t spill the names and final numbers just yet, as we are going to release all the details very soon. 😉
Disclaimer: ObjectBox was the only database running in embedded mode, which is not supported by the others in this setup. Obviously this can have a significant impact on performance. On the other hand, this is the most resource friendly mode of operation (RAM and CPU), which might be very relevant if you target restricted ARM32 devices.
This is the first public version of ObjectBox for Go and we are more than excited to get your feedback on it. We have prepared a short questionnaire for you, which should only take 1-2 minutes. Your feedback is extremely valuable to make ObjectBox a fun tool to use.
While this initial release covers all basic features, the native core of ObjectBox offers much more than what is currently exposed to Go. For example, a complete set of query conditions and relations between objects. Also, we will introduce a client/server operation mode. This will allow ObjectBox to run in Containers (e.g. Docker) and in classic server setups. As a major theme, the ObjectBox team is also working on data synchronization across devices. This keeps edge devices and gateways “in-sync”. Sync also enables seamless integration with mobile apps (Android and iOS) pushing relevant data to mobile clients and back. Of course sync will also be available for Go. You can sign up here for updates on sync.
The ObjectBox C API is here, as requested by IoT C/C++ developers. ObjectBox’s efficiency is a perfect match for the Internet of Things with its resource-restricted devices and need for offline capability.
We released ObjectBox 2.2 for Android more than a week ago: It comes with important fixes and we advise to update to the latest version asap. We noticed that already fixed issues are still being reported. Thus, we decided to dedicate a small blog post to increase the awareness for the two most important fixes:
With the release of ObjectBox 2.0 we are hitting a new milestone on our journey to make embedded databases simpler to use and faster. Two of the highlights we already announced in our 2.0 beta post: links (aka joins) and relation completeness. The final release brings some refinements to those and brings additional features like unique constraints and hash-based indexing.
ObjectBox 2.0 will be a big step ahead and we are proud to announce the beta release today. Relations and queries are the two major themes. First, ObjectBox finally allows queries to use relations to expand queries across multiple entities. We call this “link” and it is simpler to use than a SQL “join” as used in conventional databases: