Business Software for Java

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

Konfig is an innovative developer tool designed to streamline the creation of SDKs, documentation, demos, and tutorials for REST APIs, making the onboarding process for external developers more efficient. By simply importing an OpenAPI Specification or Postman Collection, Konfig can automatically generate SDKs in widely-used programming languages such as TypeScript, Python, Java, C#, PHP, Ruby, Go, Swift, and Dart. The platform enhances the quality of these SDKs by utilizing a linter to detect and correct errors in the OpenAPI Specification and by generating test cases to ensure that updates to the API do not disrupt existing SDK functionality. Furthermore, Konfig produces intuitive, branded documentation that updates automatically in response to any modifications in the API specification, thereby ensuring consistency between the documentation and the generated SDKs. Users can also create interactive demos and tutorials using familiar Markdown, which includes the capability to execute code directly in the browser for a more immersive learning experience. Overall, Konfig not only simplifies the technical aspects of API integration but also enriches the educational resources available to developers.

Sayari delivers essential context that fosters assured conclusions, facilitates information sharing, and enhances reporting. By equipping analysts and compliance teams, it enables leaders to make well-informed choices that enhance the safety of trade environments. The platform was specifically crafted to aid these teams in swiftly grasping the intricate relationships among various entities, thus providing deeper insights into international commerce and supply chains. Users can efficiently uncover entities associated with designated parties or high-risk regions by utilizing integrated watchlists, trade and maritime data, graph analytics, and geospatial search tools. Moreover, it accelerates cross-border investigations into unlawful financial activities through comprehensive beneficial ownership data sourced from offshore and high-risk jurisdictions. Additionally, it allows for the immediate identification of entities connected to designated parties, enriching networks with fresh investigative insights while ensuring the preservation of a court-admissible documentation trail. This comprehensive approach not only streamlines compliance efforts but also significantly enhances the overall understanding of complex global trade dynamics.

Utilize DeepStream's cloud-based platform to create and oversee your RFPs, RFQs, and RFIs, enabling you to save valuable time, cut costs, and conduct transactions with assurance. By using DeepStream, your procurement team can escape the frustrations of manual source-to-contract processes and refocus on strategic initiatives that enhance business value. As a top-tier e-sourcing solution, we empower teams to efficiently transition from defining business needs to selecting suppliers and managing contracts seamlessly. Plan your RFx procedures, inviting, evaluating, and negotiating with suppliers all within our innovative platform. Develop contracts directly from your accepted Requests, ensuring a streamlined and traceable source-to-contract workflow. Share your specific needs, initiate a search, and discover a fresh selection of suppliers in mere minutes, revolutionizing your procurement approach. Embrace the future of sourcing with DeepStream and transform the way you manage supplier relationships and contract negotiations.

Comprehensive CRM features for wealth management are designed to enhance the management and analysis of client interactions, ultimately aiming to strengthen business relationships with clients and Centers of Influence (COIs), thereby aiding in client retention and boosting sales growth. Additionally, it offers tailored trust and wealth management workflows that encompass the entire client operation life cycle. The platform also includes a collection of customizable workflows that streamline the execution of compliance and risk management tasks. Furthermore, these full life-cycle wealth management workflows facilitate various processes, including referrals, pipeline management, fee exception approvals, sales oversight, client onboarding, custom incentive structures, and essential service tools, all of which contribute to delivering exceptional value to clients while ensuring operational efficiency. By integrating these capabilities, firms can effectively enhance their overall client engagement strategy.

Oracle NoSQL Database is specifically engineered to manage applications that demand high data throughput and quick response times, along with adaptable data structures. It accommodates various data types including JSON, tables, and key-value formats, and functions in both on-premises installations and cloud environments. The database is designed to scale dynamically in response to fluctuating workloads, offering distributed storage across multiple shards to guarantee both high availability and swift failover capabilities. With support for programming languages such as Python, Node.js, Java, C, and C#, as well as REST API drivers, it simplifies the development process for applications. Furthermore, it seamlessly integrates with other Oracle products like IoT, Golden Gate, and Fusion Middleware, enhancing its utility. The Oracle NoSQL Database Cloud Service is a completely managed solution, allowing developers to concentrate on creating applications without the burden of managing backend infrastructure. This service eliminates the complexities associated with infrastructure management, enabling teams to innovate and deploy solutions more efficiently.

Jaunt is a Java library tailored for web scraping, web automation, and querying JSON data. It features a lightweight, fast headless browser that allows Java applications to execute web scraping, manage forms, and interact with RESTful APIs. This library can parse various formats such as HTML, XHTML, XML, and JSON, while also providing functionalities like manipulation of HTTP headers and cookies, support for proxies, and options for customizable caching. Although Jaunt does not execute JavaScript, users looking to automate JavaScript-capable browsers are encouraged to use Jauntium. Distributed under the Apache License, Jaunt has a monthly version that requires periodic updates, compelling users to download the latest release once it expires. It is particularly effective for tasks that involve extracting and parsing data from web pages, submitting filled forms, and managing HTTP requests and responses. Additionally, users can find extensive tutorials and documentation to help them efficiently navigate and utilize the features of Jaunt, making it an accessible choice for developers.

Gemini 2.0 Flash-Lite represents the newest AI model from Google DeepMind, engineered to deliver an affordable alternative while maintaining high performance standards. As the most budget-friendly option within the Gemini 2.0 range, Flash-Lite is specifically designed for developers and enterprises in search of efficient AI functions without breaking the bank. This model accommodates multimodal inputs and boasts an impressive context window of one million tokens, which enhances its versatility for numerous applications. Currently, Flash-Lite is accessible in public preview, inviting users to investigate its capabilities for elevating their AI-focused initiatives. This initiative not only showcases innovative technology but also encourages feedback to refine its features further.

Gemini 2.0 Pro stands as the pinnacle of Google DeepMind's AI advancements, engineered to master intricate tasks like programming and complex problem resolution. As it undergoes experimental testing, this model boasts an impressive context window of two million tokens, allowing for the efficient processing and analysis of extensive data sets. One of its most remarkable attributes is its ability to integrate effortlessly with external tools such as Google Search and code execution platforms, which significantly boosts its capacity to deliver precise and thorough answers. This innovative model signifies a major leap forward in artificial intelligence, equipping both developers and users with a formidable tool for addressing demanding challenges. Furthermore, its potential applications span various industries, making it a versatile asset in the evolving landscape of AI technology.

Artelys Knitro stands out as a premier solver for extensive nonlinear optimization challenges, providing a comprehensive array of sophisticated algorithms and functionalities to tackle intricate issues across multiple sectors. It boasts four cutting-edge algorithms: two based on interior-point/barrier techniques and two utilizing active-set/sequential quadratic programming methods, which facilitate both efficient and reliable resolutions for diverse optimization scenarios. Furthermore, Knitro features three dedicated algorithms for mixed-integer nonlinear programming, leveraging heuristics, cutting planes, and branching rules to adeptly manage discrete variables. Among its notable capabilities, Knitro includes parallel multi-start functionalities for global optimization, automatic and parallel adjustments of option settings, and intelligent initialization approaches aimed at swiftly identifying infeasibility. The solver is compatible with various programming environments, offering object-oriented APIs for languages such as C++, C#, Java, and Python, thus ensuring versatility for developers. Additionally, its robust support for parallel computing enhances performance and scalability for large-scale applications.

AppMap Navie serves as an AI-enhanced assistant for developers, aimed at improving the software development process through insightful recommendations and effective troubleshooting help. By merging both static and dynamic application analysis, Navie aids developers in gaining a clearer understanding of their codebases and optimizing them more efficiently. This tool integrates smoothly into various development environments and offers customizable deployment options while ensuring enterprise-level security, including compatibility with GitHub Copilot and personalized language models. Furthermore, the platform provides crucial context for AI-powered recommendations, such as details on HTTP requests, function parameters, and database interactions, which collectively boost code quality and expedite issue resolution. Developers seeking to refine their workflows, tackle intricate programming challenges, and elevate the performance of their applications will find Navie to be an invaluable asset. Ultimately, Navie's capabilities empower software teams to innovate faster and deliver higher-quality products.

Augoor revolutionizes the way static code is transformed into actionable knowledge, allowing teams to efficiently navigate, document, and optimize intricate systems with ease. By analyzing structures, relationships, and context within the code, Augoor creates a dynamic knowledge graph that significantly expedites the development lifecycle. Its AI-powered code navigation tool boosts the productivity of new developers, seamlessly integrating them into projects from their very first day. Furthermore, Augoor minimizes maintenance challenges and strengthens code integrity by identifying problematic segments, ultimately leading to cost savings and a more robust codebase. The platform automatically produces clear and updated explanations for code, safeguarding knowledge retention, particularly in the case of complex legacy systems. By streamlining the process of searching through code, the AI navigation system enables developers to concentrate on coding, thereby accelerating feature development and nurturing innovation across extensive codebases. Additionally, Augoor's sophisticated AI-driven visualizations reveal hidden patterns, elucidate complex dependencies, and unveil critical relationships that can enhance overall project efficiency. This multifaceted approach not only simplifies development but also empowers teams to make informed decisions based on deep insights from their code.

Astah UML is a robust and user-friendly diagramming software specifically designed for the creation of UML diagrams utilized in software development. It accommodates a broad spectrum of UML 2.x diagrams, encompassing class, use case, sequence, activity, and component diagrams, while equipping users with essential tools for the design and management of intricate projects. The platform boasts helpful features to accelerate the diagram creation process, such as automatically generating class diagrams, providing alignment guides, and offering auto-layout options. Moreover, it allows users to connect with various other applications like Miro, PlantUML, and yUML, and offers extensive customization options through a rich library of plug-ins. Furthermore, Astah UML facilitates reverse engineering of code written in Java, C#, and C++, and allows for the smooth generation of code from diagrams. Users can export their diagrams in multiple formats, and the software integrates effortlessly with office applications. Its versatility makes it an ideal choice for students, individual engineers, as well as development teams, thereby serving both educational and professional purposes in the realm of software modeling. Overall, its combination of features and usability positions Astah UML as a leading tool in the market for software development professionals.

Undrstnd Developers enables both developers and businesses to create applications powered by AI using only four lines of code. Experience lightning-fast AI inference speeds that can reach up to 20 times quicker than GPT-4 and other top models. Our affordable AI solutions are crafted to be as much as 70 times less expensive than conventional providers such as OpenAI. With our straightforward data source feature, you can upload your datasets and train models in less than a minute. Select from a diverse range of open-source Large Language Models (LLMs) tailored to your unique requirements, all supported by robust and adaptable APIs. The platform presents various integration avenues, allowing developers to seamlessly embed our AI-driven solutions into their software, including RESTful APIs and SDKs for widely-used programming languages like Python, Java, and JavaScript. Whether you are developing a web application, a mobile app, or a device connected to the Internet of Things, our platform ensures you have the necessary tools and resources to integrate our AI solutions effortlessly. Moreover, our user-friendly interface simplifies the entire process, making AI accessibility easier than ever for everyone.

ERNIE X1 represents a sophisticated conversational AI model created by Baidu within their ERNIE (Enhanced Representation through Knowledge Integration) lineup. This iteration surpasses earlier versions by enhancing its efficiency in comprehending and producing responses that closely resemble human interaction. Utilizing state-of-the-art machine learning methodologies, ERNIE X1 adeptly manages intricate inquiries and expands its capabilities to include not only text processing but also image generation and multimodal communication. Its applications are widespread in the realm of natural language processing, including chatbots, virtual assistants, and automation in enterprises, leading to notable advancements in precision, contextual awareness, and overall response excellence. The versatility of ERNIE X1 makes it an invaluable tool in various industries, reflecting the continuous evolution of AI technology.

Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.

FairCom RTG transforms COBOL and Btrieve applications by effectively substituting their original file systems with FairCom's sophisticated database engine, which boosts reliability, scalability, and performance while keeping the existing code intact. This solution provides real-time read/write capabilities to live data via modern APIs such as JSON and SQL, streamlining business analytics and reporting without necessitating extra coding efforts. Enhanced features like hot backups, automatic recovery, and ACID-compliant transactions significantly bolster data integrity and system uptime. Furthermore, FairCom RTG accommodates vertical scaling for thousands of users and horizontal scaling through replication to enhance reporting, failover, and overall availability. The newest release showcases a JSON DB API, simplifying the management of COBOL data with straightforward JSON commands, along with Hot Alter Table functionality that allows immediate schema changes without the need to rewrite existing records. In doing so, it provides businesses with the tools they need to adapt swiftly to changing requirements and maintain optimal performance.

The online JSON Editor provided by JSON Formatter is an intuitive tool crafted for the purposes of editing, viewing, and analyzing JSON data efficiently. Among its numerous features are capabilities for formatting, beautifying, and validating JSON, in addition to converting it into other formats like XML, CSV, and YAML. Users have the option to load their JSON data through file uploads or by entering URLs, and they can conveniently share their edited JSON via generated links. Operating entirely within the browser guarantees that data remains local, which significantly boosts both security and performance. This makes it an ideal choice for developers and data analysts alike who prioritize data privacy while working with various JSON formats.

MLlib, the machine learning library of Apache Spark, is designed to be highly scalable and integrates effortlessly with Spark's various APIs, accommodating programming languages such as Java, Scala, Python, and R. It provides an extensive range of algorithms and utilities, which encompass classification, regression, clustering, collaborative filtering, and the capabilities to build machine learning pipelines. By harnessing Spark's iterative computation features, MLlib achieves performance improvements that can be as much as 100 times faster than conventional MapReduce methods. Furthermore, it is built to function in a variety of environments, whether on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or within cloud infrastructures, while also being able to access multiple data sources, including HDFS, HBase, and local files. This versatility not only enhances its usability but also establishes MLlib as a powerful tool for executing scalable and efficient machine learning operations in the Apache Spark framework. The combination of speed, flexibility, and a rich set of features renders MLlib an essential resource for data scientists and engineers alike.

AlphaCodium is an innovative AI tool created by Qodo that focuses on enhancing coding through iterative and test-driven methodologies. By facilitating logical reasoning, testing, and code refinement, it aids large language models in boosting their accuracy. Unlike traditional prompt-based methods, AlphaCodium steers AI through a more structured flow, which enhances its ability to tackle intricate coding challenges, especially those that involve edge cases. This tool not only refines outputs through specific tests but also ensures that results are more dependable, thereby improving overall performance in coding tasks. Studies show that AlphaCodium significantly raises the success rates of models such as GPT-4o, OpenAI o1, and Sonnet-3.5. Additionally, it empowers developers by offering sophisticated solutions for challenging programming assignments, ultimately leading to greater efficiency in the software development process. By harnessing the power of structured guidance, AlphaCodium enables developers to tackle complex coding tasks with newfound confidence and competence.

Gemini 2.5 Flash is a high-performance AI model developed by Google to meet the needs of businesses requiring low-latency responses and cost-effective processing. It is optimized for real-time applications like customer support and virtual assistants, where responsiveness is crucial. Gemini 2.5 Flash features dynamic reasoning, which allows businesses to fine-tune the model's speed and accuracy to meet specific needs. By adjusting the "thinking budget" for each query, it helps companies achieve optimal performance without sacrificing quality.

AsyncAPI is a community-driven project aimed at enhancing the landscape of Event-Driven Architecture (EDA). Our vision is to simplify the process of working with EDAs to the same level of ease as interacting with REST APIs. This encompasses various aspects, including documentation, code generation, event discovery, management, and much more. The AsyncAPI Specification establishes a universal, protocol-independent framework that outlines message-based or event-driven APIs. By utilizing the AsyncAPI document, both individuals and machines can grasp the functions of an event-driven API without needing to delve into the source code, access documentation, or analyze network traffic. This specification enables the definition of API structures and formats, along with the channels available for end users to subscribe to and the message formats they will receive. Furthermore, you have the ability to develop, validate, and transform your AsyncAPI document to the most current version, or preview it in a more user-friendly format through the AsyncAPI Studio, making the entire process more intuitive and accessible. Ultimately, our mission is to foster a more cohesive and efficient experience in the realm of event-driven interactions.

DeepSeek-Coder-V2 is an open-source model tailored for excellence in programming and mathematical reasoning tasks. Utilizing a Mixture-of-Experts (MoE) architecture, it boasts a staggering 236 billion total parameters, with 21 billion of those being activated per token, which allows for efficient processing and outstanding performance. Trained on a massive dataset comprising 6 trillion tokens, this model enhances its prowess in generating code and tackling mathematical challenges. With the ability to support over 300 programming languages, DeepSeek-Coder-V2 has consistently outperformed its competitors on various benchmarks. It is offered in several variants, including DeepSeek-Coder-V2-Instruct, which is optimized for instruction-based tasks, and DeepSeek-Coder-V2-Base, which is effective for general text generation. Additionally, the lightweight options, such as DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, cater to environments that require less computational power. These variations ensure that developers can select the most suitable model for their specific needs, making DeepSeek-Coder-V2 a versatile tool in the programming landscape.

Mistral Code is a cutting-edge AI coding assistant tailored for enterprise software engineering teams that need frontier-grade AI capabilities combined with security, compliance, and full IT control. Building on the proven open-source Continue project, Mistral Code delivers a vertically integrated solution that includes state-of-the-art models like Codestral, Codestral Embed, Devstral, and Mistral Medium for comprehensive coding assistance—from autocomplete to agentic coding and chat support. It supports local, cloud, and serverless deployments, allowing enterprises to choose how and where to run AI-powered coding workflows while ensuring all code and data remain within corporate boundaries. Addressing key enterprise pain points, Mistral Code offers deep customization, broad task automation beyond simple suggestions, and unified SLAs across models, plugins, and infrastructure. The platform is capable of reasoning over code files, Git diffs, terminal output, and issues, enabling engineers to complete fully scoped development tasks with configurable approval workflows to keep senior engineers in control. Enterprises such as Spain’s Abanca, France’s SNCF, and global integrator Capgemini rely on Mistral Code to boost developer productivity while maintaining compliance in regulated industries. The system includes a rich admin console with granular platform controls, seat management, and detailed usage analytics for IT managers. Mistral Code is currently in private beta for JetBrains IDEs and VSCode, with general availability expected soon.

Tailor your route planning to suit your specific needs rather than conforming to preset options. Our mileage and routing software is offered in various formats, allowing seamless integration with the systems your team is already familiar with. With straightforward installations, your team can quickly enhance efficiency and cut costs almost immediately. Designed to be future-proof and scalable, MileMaker routing and mileage software can easily evolve alongside your business’s shifting demands and emerging technologies. Enjoy the comprehensive advantages of our mileage and routing software from any location via our cloud-based web application, which requires minimal maintenance and no installation. The intuitive, user-friendly interface enables you to customize and save routes effortlessly using drag-and-drop functionality. Accessible from any location with internet access, it also supports multiple guide versions and boasts additional routing features such as real-time traffic updates, satellite maps, door-to-door driving directions, and batch routing for extensive origin and destination datasets. This flexibility ensures that your route planning adapts to an ever-changing environment, optimizing logistics and improving overall operational performance.