Alternatives to Realm

Ditto is the only mobile database with built-in edge device connectivity and resiliency, enabling apps to synchronize without relying on a central server or constant cloud connectivity. With billions of edge devices and deskless workers driving operations and revenue, businesses are hitting the limits of what traditional cloud architectures can offer. Trusted by Chick-fil-A, Delta, Lufthansa, Japan Airlines, and more, Ditto is pioneering the edge-native revolution, transforming how businesses connect, sync, and operate at the edge. By eliminating hardware dependencies, Ditto’s software-driven networking is enabling businesses to build faster, more resilient systems that thrive at the edge – no Wi-Fi, servers, or cloud required. Through the use of CRDTs and P2P mesh replication, Ditto's technology enables you to build collaborative, resilient applications where data is always available and up-to-date for every user, and can even be synced in completely offline situations. This allows you to keep mission-critical systems online when it matters most. Ditto uses an edge-native architecture. Edge-native solutions are built specifically to thrive on mobile and edge devices, without relying solely on cloud-based services. Devices running Ditto apps can discover and communicate with each other directly, forming an ad-hoc mesh network rather than routing everything through a cloud server. The platform automatically handles the complexity of discovery and connectivity using both online and offline channels – Bluetooth, peer-to-peer Wi-Fi, local LAN, WiFi, Cellular – to find nearby devices and sync data changes in real-time.

CloudKit serves as a cloud-based framework that allows developers to store application data in iCloud, facilitating synchronization across multiple devices and the web. It automatically syncs data on various devices and web platforms, making it convenient for users. By utilizing app containers, CloudKit ensures that the data for each application remains isolated, thus avoiding any crossover with other applications. The framework features specialized databases and zones that enable developers to neatly categorize app information based on access type or functionality. Additionally, developers have the option to configure fields in private CloudKit databases to be encrypted, thus enhancing the security of data both in storage and while being transmitted. The CloudKit Console acts as a web-based management tool, allowing developers to oversee server activity, manage containers, maintain database schemas, and modify test data throughout the development process. Furthermore, it includes telemetry charts that provide insights into performance, reliability, and usage metrics, along with logs that help in assessing app performance while ensuring user privacy is preserved. Overall, CloudKit offers a comprehensive set of tools that streamline app development and data management in the cloud.

It is a highly scalable, embedded SQL database that can be accessed from anywhere. It also includes commercial-grade data security, disaster recovery, change synchronization, and data security.

WatermelonDB is a cutting-edge reactive database framework tailored for the development of robust React and React Native applications that can efficiently scale from a few hundred to tens of thousands of records while maintaining high speed. It guarantees immediate app launches, regardless of the amount of data, incorporates lazy loading to fetch data only when necessary, and features offline-first capabilities along with synchronization with your own backend systems. This framework is designed to be multiplatform. Specifically optimized for React, it facilitates uncomplicated data integration into components and is framework-agnostic, allowing developers to use its JavaScript API in conjunction with various other UI frameworks. Built on a solid SQLite infrastructure, WatermelonDB offers static typing through Flow or TypeScript, while also providing optional reactivity via an RxJS API. It effectively tackles performance challenges in complex applications by deferring data loading until explicitly requested and executing all queries directly on SQLite in a dedicated native thread, which ensures that the majority of queries are resolved almost instantly. Additionally, this innovative framework supports seamless data management, making it a versatile choice for developers aiming to enhance the performance and responsiveness of their applications.

Utilize Core Data to store your application's persistent data for offline access, cache temporary information, and implement undo features on a single device. For syncing data across various devices linked to the same iCloud account, Core Data seamlessly replicates your schema into a CloudKit container. You can specify your data types and relationships using Core Data’s Data model editor, which also allows for the generation of corresponding class definitions. At runtime, Core Data is capable of managing object instances, enabling a variety of functionalities. It simplifies the process of connecting your objects to a storage solution, allowing for straightforward data saving from both Swift and Objective-C without requiring direct database management. The undo manager in Core Data monitors changes, offering the ability to revert them individually, collectively, or all at once, thus facilitating easy integration of undo and redo capabilities in your application. Additionally, it is advisable to execute potentially UI-blocking operations, such as converting JSON into objects, in the background to maintain a smooth user experience. By doing so, your application will not only enhance its performance but also ensure that users remain engaged without interruptions.

OrbitDB functions as a decentralized, serverless, peer-to-peer database that leverages IPFS for data storage and utilizes Libp2p Pubsub for seamless synchronization among peers. It incorporates Merkle-CRDTs to facilitate conflict-free writing and merging of database entries, making it ideal for decentralized applications, blockchain projects, and web apps designed to operate primarily offline. The platform provides a range of database types that cater to distinct requirements: 'events' serves as immutable append-only logs, 'documents' allows for JSON document storage indexed by specific keys, 'keyvalue' offers conventional key-value pair storage, and 'keyvalue-indexed' provides LevelDB-indexed key-value data. Each of these database types is constructed on OpLog, a structure that is immutable, cryptographically verifiable, and based on operation-driven CRDT principles. The JavaScript implementation is compatible with both browser and Node.js environments, while a version in Go is actively maintained by the Berty project, ensuring a wide range of support for developers. This flexibility and adaptability make OrbitDB a powerful choice for those looking to implement modern data solutions in distributed systems.

IndexedDB serves as a fundamental API designed for the client-side storage of large volumes of structured data, including files and blobs. It utilizes indexing to facilitate efficient searches, making it suitable for extensive datasets. While traditional web storage can handle smaller data quantities well, it falls short when it comes to managing larger structured datasets, a gap that IndexedDB effectively fills. Functioning as a transactional database system akin to SQL-based Relational Database Management Systems (RDBMS), IndexedDB diverges from them by operating as a JavaScript-based object-oriented database. This distinction allows it to store and retrieve objects indexed by keys, with support for any objects that comply with the structured clone algorithm. Users must outline the database schema, establish a connection, and execute retrieval and updating of data through a series of transactions. Additionally, like other web storage solutions, IndexedDB adheres to the same-origin policy, ensuring data security and integrity across different domains. With its versatility and capability, IndexedDB has become an essential tool for developers dealing with complex data needs on the web.

RxDB is a NoSQL database designed for local-first use, particularly suited for contemporary web and mobile applications. It facilitates offline-first capabilities by saving data directly on the client side through various storage engines such as IndexedDB, OPFS, and SQLite. With real-time reactivity, RxDB allows developers to monitor changes in documents, fields, or queries, which means that UI components can reflect data updates instantly. Its adaptable replication engine offers synchronization with multiple backends and custom endpoints, providing flexibility for various use cases. Furthermore, RxDB easily integrates with different frameworks and environments, enhancing its usability. Key features include field-level encryption, schema validation, conflict resolution, backup and restoration options, as well as support for attachments and CRDTs. By minimizing server demands and enabling rapid local queries, RxDB significantly boosts performance and scalability, making it a prime choice for applications that need real-time updates, offline functionality, and uniformity across platforms. The combination of these capabilities positions RxDB as a forward-thinking solution for developers aiming to build efficient and responsive applications.

GUN is a real-time, decentralized, and offline-first graph database engine that allows for seamless data storage, loading, and sharing within applications without the need to manage servers, network requests, or handle issues related to offline changes or concurrency conflicts. This lightweight, efficient data synchronization and storage system operates wherever JavaScript is supported, enabling developers to concentrate on their app's data needs rather than technical hurdles. By using GUN, you can rapidly create innovative applications while harnessing powerful internet capabilities such as decentralization and genuine privacy, ultimately contributing to a freer and more open web. GUN serves as a versatile database engine that operates across browsers, mobile devices, and servers, empowering you to configure your ideal data management system. With GUN, you can build applications with enhanced functionality while ensuring user privacy and eliminating dependencies on traditional infrastructures.

PouchDB is a free and open-source JavaScript database that draws inspiration from Apache CouchDB and is optimized for efficient operation within web browsers. This innovative tool empowers applications to locally store data while offline, enabling synchronization with CouchDB and compatible servers once the user is back online, maintaining data consistency across different sessions. It boasts cross-browser compatibility and is lightweight, needing only a simple script tag and 46KB (when gzipped) to function in the browser, or it can be easily installed through npm. With a straightforward learning curve that requires some programming familiarity, PouchDB is entirely open-source, and its development is transparently managed on GitHub. Developers can leverage PouchDB to create applications that operate smoothly both online and offline, ensuring a reliable user experience irrespective of internet connectivity. It features an intuitive API that facilitates the creation, reading, updating, and deletion of documents, thereby streamlining the development process. This flexibility makes PouchDB a valuable tool for modern web applications that prioritize user accessibility and data integrity.

Dexie.js serves as a streamlined and dependable wrapper for IndexedDB, aimed at making client-side storage management more approachable. With a minified and gzipped size of around 29k, it presents a straightforward API that tackles the intricate challenges posed by the native IndexedDB, including inconsistent error management, inefficient querying, a lack of reactivity, and overall code complexity. The library is built upon a thoughtfully crafted API, featuring strong error handling, the ability to extend functionality, and awareness of change tracking, in addition to enhanced KeyRange capabilities for diverse operations such as case-insensitive searches, set matches, and OR conditions. By adhering to the IndexedDB specification and leveraging its complete feature set, Dexie.js allows developers to seamlessly interact with existing IndexedDB data without any requirement for data migration. Additionally, it supports real-time composable queries, permitting components to reflect database changes instantaneously across multiple front-end frameworks like React, Svelte, Vue, and Angular. Furthermore, with the integration of Dexie Cloud, developers can create reliable, authenticated, and access-controlled local-first applications with minimal additional coding effort. This combination of features makes Dexie.js a highly valuable tool for modern web development, particularly when managing client-side data efficiently.

Unleash the power of low-code development with no restrictions, enabling the rapid creation of web and mobile applications through an intuitive visual interface filled with pre-designed components. Adapt and innovate your applications swiftly to meet the evolving needs of your business, utilizing features such as in-app guided tours, reusable templates, and one-click deployments to the cloud, while also simplifying data integration with visual mapping tools to enhance overall efficiency. Seamlessly connect with any backend data source, managing data collection and transformation across various systems with ease. Craft stunning applications that cater to diverse audiences on any device, ensuring an exceptional user experience without constraints. Speed up your development process by leveraging over 100 pre-built native UI widgets designed for both mobile and web platforms. Take advantage of the complete range of native mobile app capabilities, responsive designs, and progressive web app (PWA) features to guarantee optimal performance, experience, and security. Create versatile omni-channel experiences from a single design canvas that encompasses mobile, web, wearables, and beyond, thus broadening your reach and impact in the digital landscape. Additionally, this streamlined approach fosters collaboration among teams, allowing for innovative solutions to emerge more rapidly than ever before.

Actian Zen is a compact, efficient database management system tailored for embedded use in edge applications, mobile technologies, and IoT settings. This system uniquely combines SQL and NoSQL data structures, offering developers the versatility needed to handle both structured and unstructured information. Renowned for its minimal resource requirements, scalability, and dependable performance, Actian Zen is particularly suited for environments that have limited resources and demand consistent output with low maintenance. It boasts integrated security measures and an architecture that automatically adjusts, allowing for real-time data processing and analytics while minimizing the need for continuous oversight. Its application spans various sectors, including healthcare, retail, and manufacturing, where the capacity for edge computing and managing distributed datasets is vital for operational success. As businesses increasingly rely on technology, the significance of Actian Zen in facilitating efficient data management will only grow.

SQLite is a C-language library that offers a compact, efficient, and reliable SQL database engine that is fully featured. Recognized as the most popular database engine globally, SQLite is embedded in every mobile device and the majority of computers, while also being included in a myriad of applications that are used daily by individuals. Operating as an in-process library, SQLite provides a self-sufficient, serverless, and zero-configuration transactional SQL database engine. The source code of SQLite resides in the public domain, making it available for anyone to use freely, whether for commercial or personal purposes. With its extensive deployment and integration into numerous applications, SQLite stands out as an invaluable tool for developers in various high-profile projects. Its versatility and ease of use contribute to its unmatched popularity in the database landscape.

Couchbase distinguishes itself from other NoSQL databases by delivering an enterprise-grade, multicloud to edge solution that is equipped with the powerful features essential for mission-critical applications on a platform that is both highly scalable and reliable. This distributed cloud-native database operates seamlessly in contemporary dynamic settings, accommodating any cloud environment, whether it be customer-managed or a fully managed service. Leveraging open standards, Couchbase merges the advantages of NoSQL with the familiar structure of SQL, thereby facilitating a smoother transition from traditional mainframe and relational databases. Couchbase Server serves as a versatile, distributed database that integrates the benefits of relational database capabilities, including SQL and ACID transactions, with the adaptability of JSON, all built on a foundation that is remarkably fast and scalable. Its applications span various industries, catering to needs such as user profiles, dynamic product catalogs, generative AI applications, vector search, high-speed caching, and much more, making it an invaluable asset for organizations seeking efficiency and innovation.

Cloud Firestore is a highly efficient, fully managed, serverless NoSQL document database designed to streamline the storage, synchronization, and querying of data for mobile, web, and IoT applications on a global scale. It features client libraries that ensure real-time synchronization and offline capabilities, while its security measures and seamless integrations with Firebase and Google Cloud Platform (GCP) facilitate the rapid development of genuinely serverless applications. With an emphasis on providing an excellent developer experience, Firestore incorporates built-in live synchronization, offline support, and ACID transactions, all accessible through a comprehensive array of client and server-side libraries. The system automatically adjusts to varying demand levels, eliminating the need for maintenance and delivering impressive availability rates between 99.99% and 99.999% through reliable data replication. Operating as a no-operations database, it allows users to pay solely for what they consume, avoiding upfront costs and issues related to underutilization of resources. Its simplified architecture enables direct communication between your applications and Firestore, enhancing overall efficiency and performance. Additionally, the continuous updates and improvements to the platform ensure that developers can leverage the latest features and security enhancements effortlessly.

Couchbase Capella serves as a cloud-based database solution that enhances the storage and processing of both operational and analytical data in a JSON-friendly environment. It stands out as a superior DBaaS for transactions, search functionalities, AI applications, and edge computing, all while providing real-time analytics capabilities. Getting started with Capella is straightforward; you can utilize SQL to interact with your JSON data, and benefit from the natural language coding support offered by Capella iQ. This versatile database is engineered to handle both operational and analytic tasks, accommodating use cases such as JSON analytics, vector searches, and mobile data synchronization. Capella ensures rapid response times measured in milliseconds, all while offering exceptional price-performance metrics for any document-based Database-as-a-Service. You can easily sign up for a free trial and be operational within minutes. In addition to its impressive features, Capella is designed to address various challenges in development, architecture, and deployment, making it a smart choice for anyone looking to secure their technological future with a robust database solution.

Experience the lightning-fast NoSQL database tailored for mobile and IoT applications, complete with built-in data synchronization. ObjectBox boasts a performance that is ten times superior to its competitors, significantly enhancing response times and facilitating real-time functionality. Our benchmarks speak for themselves, supporting a comprehensive range of systems from sensors to servers. Compatibility extends across various platforms, including Linux, Windows, macOS/iOS, Android, and Raspbian, whether you choose embedded solutions or containerized setups. Enjoy seamless data synchronization with ObjectBox's ready-to-use features, ensuring that your data is accessible precisely when and where it’s needed, allowing you to launch your application more swiftly. Develop applications that operate both online and offline, providing a reliable experience without the dependency on a continuous internet connection, creating an “always-on” atmosphere for users. Save valuable time and development resources by expediting your time-to-market, reducing both development costs and lifecycle expenses, while allowing developers to focus on high-value tasks, as ObjectBox mitigates potential risks. Moreover, ObjectBox can decrease cloud expenses by up to 60% by storing data locally at the edge and efficiently synchronizing only the necessary information. This approach not only optimizes performance but also enhances data management and accessibility across your applications.

Berkeley DB encompasses a suite of embedded key-value database libraries that deliver scalable and high-performance data management functionalities for various applications. Its products utilize straightforward function-call APIs for accessing and managing data efficiently. With Berkeley DB, developers can create tailored data management solutions that bypass the typical complexities linked with custom projects. The library offers a range of reliable building-block technologies that can be adapted to meet diverse application requirements, whether for handheld devices or extensive data centers, catering to both local storage needs and global distribution, handling data volumes that range from kilobytes to petabytes. This versatility makes Berkeley DB a preferred choice for developers looking to implement efficient data solutions.

Streamline your development process while saving time, reducing costs, and alleviating developer stress with a mobile CI/CD solution that is not only swift and adaptable but also scalable. Whether your preference leans towards native development or cross-platform frameworks, we have a comprehensive solution that meets your needs. Supporting languages such as Swift, Objective-C, Java, and Kotlin, along with platforms like Xamarin, Cordova, Ionic, React Native, and Flutter, we ensure that your initial workflows are configured automatically so you can start building within minutes. Bitrise seamlessly integrates with any Git service, whether public, private, or ad hoc, including platforms like GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, and Bitbucket, available both in the cloud and on-premises. You can easily trigger builds based on pull requests, schedule them for specific times, or set up custom webhooks to suit your workflow. Additionally, our workflows are designed to operate on your terms, enabling you to coordinate various tasks such as performing integration tests, deploying to device farms, and distributing apps to testers or app stores, ultimately enhancing your overall efficiency. With a flexible approach, you can adapt your CI/CD processes to meet the evolving demands of your development cycle.

Casbin is a versatile open-source library designed for authorization, enabling the implementation of various access control paradigms such as Access Control Lists (ACL), Role-Based Access Control (RBAC), and Attribute-Based Access Control (ABAC). This library is available in numerous programming languages, including Golang, Java, C/C++, Node.js, JavaScript, PHP, Laravel, Python, .NET (C#), Delphi, Rust, Ruby, Swift (Objective-C), Lua (OpenResty), Dart (Flutter), and Elixir, ensuring developers have a unified API experience across different environments. By utilizing the PERM metamodel, Casbin allows developers to define access control models through configuration files, making it easy to modify or upgrade authorization systems with minimal effort. It also provides a variety of policy storage solutions, compatible with databases such as MySQL, PostgreSQL, Oracle, MongoDB, Redis, and AWS S3, catering to diverse storage needs. Additionally, Casbin includes a role manager that efficiently manages RBAC role hierarchies and supports filtered policy management, which enhances the effectiveness of access enforcement. As a result, developers can easily adapt Casbin to their specific project requirements while maintaining robust security practices.

FairCom EDGE makes it easy to integrate sensor and machine data at their source - be that a factory, water treatment facility, oil platform, wind farm, or other industrial site. FairCom EDGE is the first converged IoT/Industrial IoT hub in the world. It unifies messaging and persistence with an all-in one solution. It also offers browser-based administration, configuration, and monitoring. FairCom EDGE supports MQTT, OPC UA and SQL for machine-tomachine (M2M), communication, and HTTP/REST for monitoring and real-time reporting. It constantly retrieves data from sensors and devices with OPC UA support and receives messages from machines with MQTT support. The data is automatically parsed and persisted, and made available via MQTT or SQL.

Lua is an efficient and lightweight scripting language that is renowned for its power and versatility. It accommodates various programming paradigms, including procedural, object-oriented, functional, and data-driven programming as well as data description. With its straightforward procedural syntax and robust data description features built on associative arrays and extensible semantics, Lua stands out among scripting languages. The language is dynamically typed and operates by interpreting bytecode through a register-based virtual machine, featuring automatic memory management through incremental garbage collection, which enhances its suitability for tasks like configuration, scripting, and rapid prototyping. Lua is widely recognized for its exceptional performance, with many other scripting languages aspiring to achieve speeds comparable to Lua's. Numerous benchmarks consistently indicate that Lua ranks as the fastest among interpreted scripting languages. This impressive speed is evident not only in optimized benchmark tests but also in practical applications, where many large-scale projects have incorporated substantial portions of Lua code. The language’s efficiency and flexibility make it a popular choice among developers seeking to create high-performance applications.

Apache CouchDB™ provides seamless access to your data wherever you require it. The Couch Replication Protocol is utilized across a wide range of projects and products, accommodating diverse computing environments that include everything from globally distributed server clusters to mobile devices and web browsers. You can securely store your data on your own servers or with any major cloud service provider. Both web-based and native applications benefit from CouchDB's native JSON support and its capability to handle binary data efficiently for all storage requirements. The Couch Replication Protocol facilitates smooth data transfers between server clusters, mobile phones, and web browsers, delivering an impressive offline-first user experience while ensuring strong performance and reliability. Additionally, CouchDB features a developer-friendly query language and offers optional MapReduce functionality, enabling straightforward, efficient, and comprehensive data retrieval, making it an excellent choice for developers looking for flexibility and power in their data management solutions. This versatility in accessing and managing data makes CouchDB a valuable asset for modern application development.

Firebase is an invaluable resource for developing and managing successful applications, gaining popularity among development teams ranging from startups to large corporations, thanks to its robust backing by Google. It offers a suite of reliable products and solutions that accompany your app throughout its lifecycle. You can easily automate routine development tasks by installing pre-packaged, open-source code bundles. Furthermore, Firebase allows seamless integration with your team's preferred tools, enabling you to tackle intricate challenges and enhance the overall user experience of your app. Whether you want to personalize the onboarding process, boost user engagement, or introduce new features, Firebase has you covered. With comprehensive documentation and cross-platform SDKs, Firebase supports app building and deployment across Android, iOS, web platforms, C++, and Unity. You can discover how to initiate a Firebase project, register your applications, and incorporate the Firebase SDKs tailored to your specific platform—be it iOS, Android, or the web. Additionally, you can delve into Firebase project concepts, explore detailed insights into project permissions and management systems, and prepare your application for launch effectively, ensuring that you have all the tools necessary for a successful deployment. Overall, Firebase stands as a pivotal ally in the app development arena.

The Java™ Programming Language is designed as a versatile, concurrent, and strongly typed object-oriented language that utilizes a class-based structure. Typically, it is translated into bytecode that adheres to the specifications laid out in the Java Virtual Machine Specification. In this language, developers write source code in standard text files that conclude with the .java suffix. These source files are subsequently transformed into .class files through the use of the javac compiler. Unlike native processor code, a .class file comprises bytecodes, which serve as the machine language understood by the Java Virtual Machine (Java VM). To execute an application, the java launcher tool creates an instance of the Java Virtual Machine, allowing the compiled bytecode to run seamlessly. This process exemplifies the efficiency and portability that Java offers across various computing environments.

Perst is an open source, dual-licensed object-oriented embedded database management system (ODBMS) created by McObject. It comes in two versions: one designed as an all-Java embedded database and another tailored for C# applications within the Microsoft .NET Framework. This database system enables developers to efficiently store, sort, and retrieve objects, ensuring high speed while maintaining low memory and storage requirements. By utilizing the object-oriented features of both Java and C#, Perst showcases a significant performance edge in benchmarks like TestIndex and PolePosition when compared to other embedded database solutions in Java and .NET. One of its standout capabilities is its ability to store data directly in Java and .NET objects, which eliminates the need for translation typical in relational and object-relational databases, thereby enhancing run-time performance. With a compact core comprised of only five thousand lines of code, Perst demands minimal system resources, making it an attractive option for resource-constrained environments. This efficiency not only benefits developers but also contributes to the overall responsiveness of applications utilizing the database.

Incorporate optimization and simulation models into your desktop, web, or mobile applications effortlessly by utilizing consistent high-level objects such as Problem, Solver, Variable, and Function, along with their respective collections, properties, and methods across various programming languages. This uniformity extends to a standardized object-oriented API that is accessible remotely via Web Services WS-* standards for clients using languages like PHP, JavaScript, and C#. Additionally, procedural languages are able to invoke traditional calls that align intuitively with the properties and methods of the object-oriented API. The suite of optimization techniques available encompasses linear and quadratic programming, mixed-integer programming, smooth nonlinear optimization, as well as global optimization and non-smooth evolutionary and tabu search methodologies. Furthermore, premier optimization tools from Gurobi™, XPRESS™, and MOSEK™ for handling linear, quadratic, and conic models, along with KNITRO™, SQP, and GRG methods for nonlinear challenges, can be seamlessly integrated into the Solver SDK. You can also effortlessly generate a sparse DoubleMatrix object containing an impressive 1 million rows and columns, making it easier to handle large datasets. This flexibility in creating and managing complex optimization problems allows developers to tailor solutions that meet specific application needs efficiently.

FacePlugin is the leading provider of On-Premises Identity Validation Solutions. Our robust suite of products includes state-of the-art technologies, such as Face Recognition and Face Liveness Detection. We also offer ID Document Recognition, Palm Print Recognition, and Palm Print Recognition. Our face recognition algorithm is fast and unbiased. Our liveness detection model is able to detect spoofing, including 3D masks, printed photos, video replays, and deepfake. Our ID document recognition software can recognize ID documents from over 180 countries, including ID cards, passports and driver licenses. We offer SDKs - Face recognition SDK (Android, iOS, Server) - Liveness detection SDK (Android, iOS, Server) - ID document recognition SDK (Android, iOS, Server) - Palmprint Recognition SDK (Server). Programming languages Flutter, Swift, Java, Object C and Python We offer free integration support.

JHipster serves as a comprehensive development platform designed for the rapid creation, development, and deployment of contemporary web applications and microservice architectures. It accommodates a variety of frontend technologies, such as Angular, React, and Vue, and also extends support to mobile applications using Ionic and React Native. On the backend, JHipster offers compatibility with Spring Boot (utilizing either Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET frameworks. When it comes to deployment, the platform adheres to cloud-native principles via Docker and Kubernetes, providing deployment options for various environments including AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. The primary objective is to produce a comprehensive and modern web application or microservice architecture equipped with a high-performance and resilient server-side stack, showcasing excellent test coverage. The user interface is designed to be sleek, modern, and mobile-first, utilizing Angular, React, or Vue along with Bootstrap for styling. Moreover, the platform incorporates a powerful workflow for application building through tools like Webpack and Maven or Gradle, ensuring a resilient microservice architecture that remains focused on cloud-native methodologies. This holistic approach ensures that developers have all the resources they need to create scalable and efficient applications.

When utilizing Velocity in web development, web designers can collaborate concurrently with Java developers to create websites that align with the Model-View-Controller (MVC) architecture, allowing designers to concentrate on crafting visually appealing sites while programmers dedicate their efforts to producing high-quality code. By effectively separating Java logic from web pages, Velocity enhances the maintainability of websites over time and serves as a robust alternative to Java Server Pages (JSPs) or PHP. The flexibility of Velocity extends far beyond web applications; it can also generate formats like SQL, PostScript, and XML from templates, showcasing its versatility. It can function as an independent tool for producing source code and reports or be integrated seamlessly into other systems. Moreover, Velocity offers templating services for various web frameworks, providing a view engine that supports the development of web applications following a genuine MVC approach. This dual functionality not only expedites the development process but also ensures a cleaner separation of concerns.

Refraction serves as a powerful code-generation tool tailored for developers, employing AI to assist in writing code. This innovative platform enables users to produce unit tests, documentation, refactor existing code, and much more. It supports code generation in 34 programming languages, including Assembly, C#, C++, CoffeeScript, CSS, Dart, Elixir, Erlang, Go, GraphQL, Groovy, Haskell, HTML, Java, JavaScript, Kotlin, LaTeX, Less, Lua, MatLab, Objective-C, OCaml, Perl, PHP, Python, R Lang, Ruby, Rust, Sass/SCSS, Scala, Shell, SQL, Swift, and TypeScript. With Refraction, thousands of developers globally are streamlining their workflows, utilizing AI to automate tasks such as documentation creation, unit testing, and code refactoring. This tool not only enhances efficiency but also allows programmers to concentrate on more critical aspects of software development. By leveraging AI, you can refactor, optimize, fix, and style-check your code effortlessly. Additionally, it facilitates the generation of unit tests compatible with various testing frameworks and helps clarify the intent of your code, making it more accessible for others. Embrace the capabilities of Refraction and transform your coding experience today.

Node.js serves as an asynchronous event-driven JavaScript runtime specifically engineered for creating scalable network applications. Each time a connection is made, a callback function is triggered; however, if there are no tasks to execute, Node.js enters a sleep state. This approach stands in stark contrast to the more prevalent concurrency model that relies on operating system threads. Networking based on threads can be quite inefficient and often presents significant usability challenges. Additionally, Node.js users don't have to concern themselves with the complications of dead-locking the process since the architecture does not utilize locks. In fact, very few functions within Node.js handle I/O directly, ensuring that the process remains unblocked except when synchronous methods from Node.js's standard library are utilized. This non-blocking nature makes it highly feasible to develop scalable systems using Node.js. The design of Node.js shares similarities with, and draws inspiration from, frameworks like Ruby's Event Machine and Python's Twisted, extending the event model even further. Notably, Node.js incorporates the event loop as an integral runtime feature rather than relegating it to a mere library, thus enhancing its efficiency and functionality. This distinctive approach makes Node.js an attractive choice for developers looking to create high-performance applications.

Codename One is the most popular open-source cross-platform mobile app development platform for Java/Kotlin developers.

C#, often referred to as "C Sharp," is a contemporary programming language characterized by its object-oriented and type-safe nature. This language allows developers to create a wide array of secure and efficient applications that operate within the .NET framework. With foundations in the C language family, programmers familiar with C, C++, Java, and JavaScript will find C# to be quite accessible. This guide offers a comprehensive overview of the essential elements of C# up to version 8. As an object-oriented and component-oriented language, C# includes specific constructs that facilitate the development and utilization of software components. Over time, C# has evolved by incorporating features that cater to new workloads and progressive software design methodologies. At its essence, C# embodies object-oriented principles, enabling developers to define types along with their associated behaviors while fostering a rich ecosystem for application development. The language continues to adapt and grow, ensuring its relevance in the ever-changing landscape of technology.

Transform your surroundings with cutting-edge augmented reality technology that provides unique experiences like never before. Store extensive collections of images that can be quickly scanned and recognized, prompting impressive AR interactions. Utilize your existing CAD data and 3D models to meet your business objectives through augmented reality solutions. With CMS integration, robust server frameworks, and the ability to generate both programmatic and localized target collections, you can manage multiple applications seamlessly. Effortlessly craft augmented reality content using intuitive drag-and-drop tools, eliminating the need for coding skills! Since its inception in 2008, Wikitude has been at the forefront of pioneering AR technology, known for dependable products, clear pricing structures, market resilience, and approachable support staff. Elevate your images, objects, and environments with stunning 2D and 3D enhancements. Develop once and deploy across various platforms effortlessly, with support for Android, iOS, Windows, and smart glasses. Choose from JavaScript, Unity, Cordova, Xamarin, Flutter, or Native API to create your AR applications and tap into the limitless potential of augmented reality. Engage your audience in new ways by integrating innovative features and experiences into your AR projects.

HyperGraphDB serves as a versatile, open-source data storage solution founded on the sophisticated knowledge management framework of directed hypergraphs. Primarily created for persistent memory applications in knowledge management, artificial intelligence, and semantic web initiatives, it can also function as an embedded object-oriented database suitable for Java applications of varying scales, in addition to serving as a graph database or a non-SQL relational database. Built upon a foundation of generalized hypergraphs, HyperGraphDB utilizes tuples as its fundamental storage units, which can consist of zero or more other tuples; these individual tuples are referred to as atoms. The data model can be perceived as relational, permitting higher-order, n-ary relationships, or as graph-based, where edges can connect to an arbitrary assortment of nodes and other edges. Each atom is associated with a strongly-typed value that can be customized extensively, as the type system that governs these values is inherently embedded within the hypergraph structure. This flexibility allows developers to tailor the database according to specific project requirements, making it a robust choice for a wide range of applications.

LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.

Oorian is a Java-based framework that allows you to create dynamic, interactive and data-driven web apps in Java, allowing you to take advantage of all the benefits object-oriented design has to offer from front-end to rear-end. Java can be used to create your entire web application including the UI without having to maintain separate HTML, CSS and Javascript code.

Pascal holds greater significance today than it has in the past, with modern implementations like Oxygene offering a wealth of capabilities. Oxygene stands out as a versatile programming language, empowering developers to build an extensive range of projects across diverse platforms. It achieves this by integrating a mix of language features that simplify the development process, incorporating fundamental object-oriented principles common in contemporary languages, such as classes that encompass methods, properties, and events. Additionally, it includes advanced, specialized features that facilitate particular development tasks, including the creation of safe, multi-threaded applications, many of which are exclusive to Oxygene. All these features are rooted in Object Pascal's principles, maintaining the language's design philosophies that ensure Pascal remains accessible, readable, and easy to learn. As an object-oriented programming language, the majority of Oxygene code is encapsulated within "classes," allowing for organized and efficient code management. This modern approach not only honors the legacy of Pascal but also adapts it for today's programming challenges.

IVRESS is a simulation product that provides users with a virtual reality environment. It's an object-oriented virtual reality toolkit that allows developers to create immersive interactive environments. Although this may sound lofty, IVRESS has a large library of prebuilt objects that can make it much easier. You can select any area you wish and manipulate it with ease. It is possible to create realistic scenes using photorealistic rendering features such as transparency and texture mapping. After you have built a VR environment using IVRESS, you will be able to use the spatial navigation control for flying through the scene. This allows you to view models from all sides. R&D teams who have modeled scenes in older software will be able to import VRML97 and PLTO3D objects immediately.

Intro streamlines the processes of searching, screening, and reaching out to potential candidates, allowing you to focus on interviewing those who are most qualified. Engage with one of our specialists to refine your candidate targeting strategy. You have control over which candidates receive outreach, and communications will be sent directly from your personal email. We diligently search the internet to identify software engineers and other tech professionals skilled in languages such as Java, .NET, Ruby, and Python, as well as frameworks like React, Angular, and various web technologies including HTML and CSS. Our expertise covers a wide range of skills and experience throughout the entire technology stack. For mobile development, we can locate talent proficient in Java, Kotlin for Android, and Swift or Objective-C for iOS and Apple devices. Candidates we present will have backgrounds in both software development and operations. Our pricing structure is based on the number of positions you wish to fill and the complexity of those roles. We guarantee a specified number of qualified candidates who have expressed interest. While consulting can be an appealing option, it may not suit everyone. Our automated search and screening processes significantly enhance efficiency, ensuring you connect with the right talent swiftly. Additionally, our service adapts to your unique hiring needs for maximum effectiveness.

Gilhari is a microservice framework that provides persistence for JSON objects in relational database. This microservice framework is available as a Docker image and can be configured according to an app-specific object or relational model. Gilhari exposes REST (Representational State Transfer) interface for APIs (POST/GET, PUT and DELETE ) to perform CRUD (Create. Retrieve. Update. Delete) operations on app-specific JSON objects. Here are some highlights from Gilhari: * Metadata driven, object model independent and database agnostic framework * Easily customizable/configurable to your JSON object model * JSON attributes can be mapped to table columns, allowing full query capabilities as well as optimizations * Supports complex object modeling, including 1-m, 1-m and m-m relationships * No code is required to handle REST APIs (POST/GET, PUT/DELETE), data exchange (CRUD), or database schema creation.

Interestingly, our appreciation for various ORM solutions like Dapper, Hibernate, and Entity Framework led us to identify ways to enhance their functionality. For an in-depth exploration of our project, check out CodexMicroORM on GitHub, where we delve into critical issues such as performance optimization, ensuring thread safety, and providing seamless integration with user interface frameworks like INotifyPropertyChanged and IDataErrorInfo, alongside straightforward configuration and a focus on service-oriented architecture that allows interoperability with existing classes. CodexMicroORM, also known as CEF, is completely free and distributed under the Apache 2.0 license. Designed with a flexible architecture, we are excited to introduce optional paid extensions and tools, including a purely object-oriented database that eliminates concerns about "object-relational mapping," resulting in a more streamlined design and outstanding in-memory performance. We plan to share in-depth insights on our blog, which will not only highlight the features of CEF but also cover a variety of intriguing data-related subjects, encouraging you to subscribe for updates even if you don't intend to use our framework.

ABAP, which stands for Advanced Business Application Programming, is a specialized fourth-generation programming language developed by SAP specifically for handling large volumes of data within its business applications. It operates within the SAP NetWeaver framework, allowing organizations utilizing SAP ERP and S/4 HANA to customize their systems according to specific requirements. This versatile language supports multiple programming paradigms, including procedural and object-oriented styles, and is capable of integrating smoothly with other languages like Java, JavaScript, and SAPUI5. The introduction of object-oriented features in version 4.6C in 2000 marked a significant advancement, and further improvements in ABAP 7.4/7.5 resulted in reductions in code length by as much as 50% with the introduction of enhanced syntax, improved Open SQL, ABAP Managed Database Procedures, and Core Data Services (CDS) Views. Additionally, the launch of SAP HANA in 2011 shifted many processing tasks to the in-memory database layer, facilitating real-time operations and creating exciting new programming opportunities. As a result, ABAP has evolved into a powerful tool that meets the dynamic needs of modern businesses.