Ankündigung der allgemeinen Verfügbarkeit (GA) von Atlas Device SDK für C++

Otso Virtanen, Lee Maguire, Jason Flax, and Yavor Georgiev
February 22, 2024 | Updated: February 29, 2024

Die Datenplattform für Entwickler von MongoDB bietet beispiellose Flexibilität und Skalierbarkeit. Durch die rationalisierte Integration komplexer Datenstrukturen und Echtzeitanalysen sowie die schnellere Entwicklung und Bereitstellung unternehmenskritischer Anwendungen bietet diese neue Technologie Unternehmen aller Branchen einen erheblichen Mehrwert. Heute setzen wir unsere Mission fort: Wir wollen Entwicklern das beste Erlebnis bereitstellen. Daher freuen wir uns, die allgemeine Verfügbarkeit (GA) von Atlas Device SDK for C++ bekanntzugeben. Die Updates in dieser Version erfolgen nach zahlreichen Iterationen, die auf dem Feedback unserer Vorschau-Benutzer basieren und auf Leistung und Übertragbarkeit abzielen.

Mit Atlas Device SDK für C++ können Entwickler Daten problemlos auf Geräten speichern, um offline darauf zuzugreifen und Daten innerhalb ihrer C++-Anwendungen in die und aus der MongoDB Atlas-Cloud zu synchronisieren. Das System ist eine benutzerfreundliche Alternative zu SQLite und aufgrund seiner objektorientierten Datenbank viel unkomplizierter zu handhaben, wodurch eine separate Zuordnungsebene oder ORM nicht mehr notwendig ist. C++-SDK orientiert sich an der Mission der MongoDB-Entwickler-Datenplattform, den Entwicklungsprozess zu rationalisieren. Hierzu enthält es eine Logik zur Netzwerk-Wiederholung und fortschrittlichen Konfliktzusammenführungsfunktion. Dies erübrigt die herkömmliche Vorgabe, umfangreiche und komplexe Synchronisierungscodes zu schreiben und zu pflegen.

Warum Atlas Device SDK für C++?

Atlas Device SDK für C++ eignet sich besonders gut für Anwendungen in eingebetteten Geräten, für IoT und für plattformübergreifende Szenarien. Das System ist eine umfangreiche, objektorientierte Persistenzebene für Edge-, Mobil- und eingebettete Geräte und unterstützt bei der Synchronisierung mit dem MongoDB Atlas als Cloud-Backend. In der sich stets weiterentwickelnden Landschaft aus vernetzten und intelligenten Geräten unterstreicht die Nachfrage nach mehr Daten einschließlich historischer Daten zur automatischen Entscheidungsfindung, wie wichtig effiziente Persistenzebenen und Echtzeit-Cloud-Synchronisierungstechnologien sind, die gegenüber veränderlichen Netzwerkverbindungen und Ausfällen wesentlich robuster sind.

Die im Atlas Device SDK für C++ enthaltene Datenbank kann auf eine über zehnjährige Geschichte zurückblicken. Die ausgereifte, funktionsreiche und unternehmenstaugliche Technologie ist bereits in Zehntausende von Anwendungen auf Google Play und im Apple App Store integriert und weist Milliarden von Downloads auf. Das leichte Design ist auf ressourcenbeschränkte Umgebungen optimiert. Beim Design werden Faktoren wie Rechnerleistung, Arbeitsspeicher, Bandbreite und Akku-Verbrauch berücksichtigt. Die direkte SDK-Einbettung in den Anwendungscode macht zusätzliche Bereitstellungsaufgaben überflüssig und vereinfacht den Entwicklungsprozess.

Die vollständige Objekt-Orientierung von SDK ist Richtschnur für die Datenmodellierung und bietet einen unkomplizierten und idiomatischen Ansatz. Dies steht im Gegensatz zu alternativen Technologien wie der SQLite-Datenbank, die eine objektrelationale Zuordnungsbibliothek erfordert, wodurch der Prozess komplexer und die zukünftige Entwicklung, Wartung und Fehlersuche erschwert werden. Darüber hinaus ermöglicht der zugrundeliegende Datenspeicher von SDK die nahtlose Integration mit reaktiven Benutzeroberflächenebenen in verschiedenen Umgebungen. In Atlas Device SDK für C++ geben wir Beispiele zur Integration mit dem Qt framework,; es können jedoch auch andere Benutzeroberflächenebenen hinzugefügt werden.

Verbesserungen in der GA-Version

Bei Entwicklung der neuen API hat man auf Leistungsmessungen mit einem zielgerichteten Fokus darauf geachtet, die Lese-/Schreibvorgänge der Datenebene zu verbessern. Große Automobil- und Produktions-OEM meldeten Interesse an. Dieses Feedback war von unschätzbarem Wert für die Entwicklung unserer endgültigen API.

Folgende Änderungen wurden dem Atlas Device SDK for C++ unter anderem hinzugefügt:

  • Ausrichtung unserer APIs an anderen Atlas Device SDK, z. B.: Verbesserte Kontrolle des Datenbankstatus durch Überwachung und manuelle Komprimierung

  • HTTP Tunneling

  • Bessere Kontrolle für Atlas Device Sync-Sitzungen

  • Windows-Support

  • Kompatibilität mit OpenWRT und sonstigen Linux-Distributionen durch Unterstützung von musl

  • Android Automotive-Support mit Dateien, die über Blueprint/Soong erstellt werden

Wie geht es weiter?

Künftig werden wir an der Unterstützung von Geodaten sowie an der Fähigkeit arbeiten, mit einer Vielzahl von Paketmanagern wie vcpkg und Conan weitere Systeme zu entwickeln. Wir freuen uns über jedes Feedback. Wenn Sie Kommentare oder Vorschläge haben, teilen Sie uns diese bitte über unser GitHub-Projekt mit.

Sind Sie bereit, einzusteigen?

Jetzt Atlas Device SDK für C++ installieren –beginnen Sie mit unseren Unterlagen oder springen Sie direkt zu Beispielprojekten mit Quellcode.

Registrieren Sie sich dann für Atlas, um eine Verbindung mit Atlas Device Sync herzustellen, einem vollständig verwalteten mobilen Backend-as-Service. Nutzen Sie die sofort einsatzbereite Infrastruktur, die Funktionen zur Datensynchronisierung, die Netzwerkhandhabung und vieles mehr, um mobile Anwendungen schnell auf Unternehmensebene zu starten.

Teilen Sie uns Ihre Ansichten mit und beteiligen Sie sich an unseren Foren. Wir sehen uns dort!

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Announcing the GA of the Atlas Device SDK for C++

This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . MongoDB's developer data platform was designed to offer unparalleled flexibility and scalability for developers. By streamlining the integration of complex data structures and real-time analytics, and accelerating the development and deployment of mission-critical applications, its adoption has added significant value to businesses across industries. Today we continue our mission to provide the best experience for developers and are excited to announce the general availability (GA) of the Atlas Device SDK for C++ . The updates in this release come after numerous iterations that were guided by feedback from our preview users and target performance and portability. The Atlas Device SDK for C++ enables developers to effortlessly store data on devices for offline access while seamlessly synchronizing data to and from the MongoDB Atlas cloud within their C++ applications. It serves as a user-friendly alternative to SQLite, offering simplicity due to its object-oriented database nature, removing the necessity for a separate mapping layer or ORM. Aligned with MongoDB's developer data platform mission of streamlining the development process - the C++ SDK incorporates networking retry logic and advanced conflict merging functionality, eliminating the traditional need for writing and maintaining extensive and complex synchronization code. Why choose the Atlas Device SDK for C++? The Atlas Device SDK for C++ is particularly well-suited for applications in embedded devices, IoT, and cross-platform scenarios. It serves as a comprehensive object-oriented persistence layer for edge, mobile, and embedded devices, offering built-in support for synchronization with the MongoDB Atlas as a cloud backend. In the evolving landscape of connected and smart devices, the demand for more data, including historical data for automated decision-making, highlights the importance of efficient persistence layers and real-time cloud-syncing technologies which are robust towards changing network connections and outages. The database included in the Atlas Device SDK for C++, comes with over a decade of history, and is a mature, feature-rich, and enterprise-ready technology, integrated into tens of thousands of applications on Google Play and the Apple App Store with billions of downloads. Its lightweight design is optimized for resource-constrained environments. It considers factors like compute, memory, bandwidth, and battery usage in its design. Embedding the SDK directly into application code eliminates the need for additional deployment tasks and simplifies the development process. The fully object-oriented nature of the SDK guides the data modeling, providing a straightforward and idiomatic approach. This stands in contrast to alternative technologies like SQLite database, which require an object-relational mapping library, adding complexity and making future development, maintenance, and debugging more challenging. Furthermore, the SDK’s underlying data store enables seamless integration with reactive UI layers across various environments. In the Atlas Device SDK for C++ we give examples of how to integrate with the Qt framework , but other UI layers can also be added. Improvements in the GA release The new API was developed based on performance measurements with a coordinated focus and effort to improve the read/write operations of the data layer. There has been great interest from major automotive and manufacturing OEMs and this feedback has been invaluable in guiding our final API. Some of the changes added to the Atlas Device SDK for C++ include: Aligning our APIs with other Atlas Device SDKs, e.g. improved control of the database state with monitoring and manual compaction HTTP tunneling Better control for the Atlas Device Sync sessions Windows support Compatibility with OpenWRT among other Linux distributions by supporting musl Android Automotive support with Blueprint/Soong build files What's next Looking ahead we are working towards geospatial support as well as the ability to build with a variety of package managers such as vcpkg and Conan. We welcome and value all feedback - if you have any comments or suggestions, please share them via our GitHub project . Ready to get started? Install the Atlas Device SDK for C++ — start your journey with our docs or jump right into example projects with source code . Then, register for Atlas to connect to Atlas Device Sync, a fully managed mobile backend as a service. Leverage out-of-the-box infrastructure, data synchronization capabilities, network handling, and much more to quickly launch enterprise-grade mobile apps. Finally, let us know what you think, and get involved in our forums . See you there!

February 22, 2024
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Interactive banking represents a new era in financial services where customers engage with digital platforms that anticipate, understand, and meet their needs in real-time. This approach encompasses AI-driven technologies such as chatbots, virtual assistants, and predictive analytics that allow banks to enhance digital self-service while delivering personalized, context-aware interactions. According to Accenture’s 2023 consumer banking study , 44% of consumers aged 18-44 reported difficulty accessing human support when needed, underscoring the demand for more responsive digital solutions that help bridge this gap between customers and financial services. Generative AI technologies like chatbots and virtual assistants can fill this need by instantly addressing inquiries, providing tailored financial advice, and anticipating future needs. 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