Realm C++ SDK Version v2.0.0

Realm C++ SDK


Realm is a mobile database that runs directly inside phones, tablets or wearables. This repository holds the source code for the C++ SDK Preview.

Why Use Realm

  • Intuitive to Developers: Realm’s object-oriented data model is simple to learn, doesn’t need an ORM, and lets you write less code.
  • Designed for Offline Use: Realm’s local database persists data on-disk, so apps work as well offline as they do online.
  • Built for Mobile: Realm is fully-featured, lightweight, and efficiently uses memory, disk space, and battery life.
  • Device Sync: Makes it simple to keep data in sync across users, devices, and your backend in real-time. Get started for free and create the cloud backend.

Object-Oriented: Streamline Your Code

Realm was built for mobile developers, with simplicity in mind. The idiomatic, object-oriented data model can save you thousands of lines of code.

#include <cpprealm/sdk.hpp>
using namespace realm;
// Define your models like regular structs.
struct Dog {
std::string name;
int64_t age;
REALM_SCHEMA(Dog, name, age)
struct Person {
std::string name;
int64_t age;
// Create relationships by pointing an Object field to another Class
Dog* dog;
REALM_SCHEMA(Person, _id, name, age, dog)
// Use them like regular objects.
auto dog = Dog { .name = "Rex", .age = 1 };
std::cout << "name of dog: " << << std::endl;
auto person = Person();
person._id = "something unique"; = "John"; = &dog;
// Get the default Realm with automatic schema discovery.
auto realm = db(std::move(config));
// Persist your data easily with a write transaction
auto managed_person = realm.write([&realm, &person] {
return realm.add(std::move(person));
// Query with type safety.
auto dogs = realm.objects<Dog>();
auto adult_dogs = dogs.where([](auto& d) {
return d.age > 2;
Definition: db.hpp:66
Definition: managed_primary_key.hpp:72

Live Objects: Build Reactive Apps

Realm’s live objects mean data updated anywhere is automatically updated everywhere.

// Open the default realm.
auto realm = db(std::move(config));
auto dog = Dog { .name = "Max" };
// Create a dog in the realm.
auto managed_dog = realm.write([&realm, &dog] {
return realm.add(std::move(dog));
// Set up the listener & observe object notifications.
token = managed_dog.observe([](auto&& change) {
if (change.error) {
std::cout<<"An error occurred: "<<error<<std::endl;
} else if (change.is_deleted) {
std::cout<<"The object was deleted."<<std::endl;
} else {
std::cout << "Property " << << " changed to " << property.new_value << std::endl;
// Update the dog's name to see the effect.
realm.write([&managed_dog] { = "Wolfie"
Definition: notifications.hpp:38

Data Sync

The Atlas Device Sync makes it simple to keep data in sync across users, devices, and your backend in real-time.

auto app = realm::App("<app-id>");
auto user = app.login(realm::App::credentials::anonymous()).get();
auto realm = db(user.flexible_sync_configuration());
auto cars = realm.results<Car>();
for (auto& car : cars) {
Definition: app.hpp:223
Definition: app.hpp:89

Getting Started

See the detailed instructions in our docs.

The API reference is located here.

Installing Realm


To build the Realm C++ SDK, you need CMake 3.20 or newer and a standard set of build tools. This includes a C/C++ compiler and a build system like GNU make. Realm is thoroughly tested with both GCC and Clang. It is compatible with GCC 8.3 and newer, as well as with Clang 9 and newer. Your compiler must support C++17.

Ubuntu 18.04 or greater

sudo apt-get install build-essential
sudo apt-get install libcurl4-openssl-dev
sudo apt-get install libuv1-dev
sudo apt-get install libprocps-dev
sudo apt-get install libssl-dev
sudo apt-get install zlib1g-dev
sudo apt-get install cmake
  • If you are using a GCC version <= 9 and encounter an SSL linking error add the -DREALM_USE_SYSTEM_OPENSSL=ON cmake option.


On macOS, Clang is used as the C/C++ compiler by default. Clang is installed as part of Xcode. Xcode 13.1 or newer is required, and can be installed via the Mac App Store.

Setting up a development environment can conveniently be achieved using a package manager called brew. See for install instructions.

brew install cmake


On Windows, navigate to the following websites in your browser to download the appropriate installers.


git submodule update --init --recursive
mkdir build.debug
cd build.debug
cmake -D CMAKE_BUILD_TYPE=debug ..
sudo cmake --build . --target install

You can then link to your library with -lcpprealm.

Note: If your target is Windows make sure to add the MSVC_RUNTIME_LIBRARY property to your target like so:

set_property(TARGET My_Target PROPERTY
MSVC_RUNTIME_LIBRARY "MultiThreaded$<$<CONFIG:Debug>:Debug>") # If building in release use `CONFIG:Release>:Release`