Business Software for Azure Marketplace

Project Planner integrates advanced Artificial Intelligence with digital project management tools to enhance employee efficiency, facilitate communication, and simplify workflows. The Pai AI assistant is available to respond to inquiries and aid in task completion, thereby boosting your team's overall productivity. Utilize AI-driven project management tools to effectively organize projects, monitor deadlines, and ensure that everything is executed according to schedule. With Project Planner, your team can consistently meet deadlines and produce high-quality results, as they receive immediate notifications for assigned tasks. Each team member submits their work online, allowing Project Planner to compile and summarize these reports for timely decision-making, which ultimately fosters a more agile work environment. This integration of AI not only improves operational efficiency but also enhances collaboration among team members, creating a seamless project management experience.

Ollama stands out as a cutting-edge platform that prioritizes the delivery of AI-driven tools and services, aimed at facilitating user interaction and the development of AI-enhanced applications. It allows users to run AI models directly on their local machines. By providing a diverse array of solutions, such as natural language processing capabilities and customizable AI functionalities, Ollama enables developers, businesses, and organizations to seamlessly incorporate sophisticated machine learning technologies into their operations. With a strong focus on user-friendliness and accessibility, Ollama seeks to streamline the AI experience, making it an attractive choice for those eager to leverage the power of artificial intelligence in their initiatives. This commitment to innovation not only enhances productivity but also opens doors for creative applications across various industries.

This is a hub for collaborating on the open-source version of the Java platform, standard edition, along with its associated projects. You can download and install the latest open-source JDK, including Oracle’s free OpenJDK JDK 21 binaries, which are licensed under GPL and are production-ready for Linux, macOS, and Windows. Additionally, Oracle offers commercially-licensed JDK 21 binaries that share the same underlying codebase. Users can explore the code online, clone repositories for local modifications, and contribute patches aimed at bug fixes, enhancements to existing components, or the introduction of new features. OpenJDK supplies source code that developers utilize to compile their binaries, meaning users must take on the responsibility of building the code and creating a Java runtime customized for their platforms. Given that the JDK represents a sophisticated software project, constructing it requires a certain level of technical skill, several dependencies on other software, and a computer with adequate processing power. Engaging with OpenJDK not only fosters community collaboration but also enables developers to hone their skills through hands-on experience with a pivotal technology.

When subscribers of n2y began sharing their desires for an all-encompassing IEP software solution, we took their feedback seriously and immediately set to work. Today, Polaris has emerged as the benchmark for seamless and efficient collaboration at every phase of the IEP process, including planning, drafting, implementation, and reporting. The creation of precise, data-informed roadmaps has become remarkably straightforward, allowing educators to save countless hours for each student while ensuring compliance is clearly outlined. Whether used as a vital stand-alone tool or as an integral component of the n2y overall solution, Polaris is dedicated to cultivating improved outcomes and fostering promising futures. It guarantees that all members of the IEP team are harmoniously aligned, enabling a tailored learning experience with students at the center of their mission. By utilizing current, transparent, and dependable student performance metrics, decision-making is greatly enhanced. The assessments, rubrics, and profiles provided produce highly trustworthy data that accurately reflects students' academic performance levels, thereby supporting informed educational strategies. With Polaris, educators are empowered to drive meaningful change in their students' learning journeys.

Develop a tailored computer vision model in just a few minutes with AI Custom Vision, a component of Azure AI Services, which allows you to personalize and integrate advanced image analysis for various sectors. Enhance customer interactions, streamline production workflows, boost digital marketing strategies, and more, all without needing any machine learning background. You can configure your model to recognize specific objects relevant to your needs. The user-friendly interface simplifies the creation of your image recognition model. Begin training your computer vision solution by uploading and tagging a handful of images, after which the model will evaluate its performance on this data and improve its accuracy through continuous feedback as you incorporate more images. To facilitate faster development, take advantage of customizable pre-built models tailored for industries such as retail, manufacturing, and food services. For instance, Minsur, one of the largest tin mining companies globally, demonstrates the effective use of AI Custom Vision to promote sustainable mining practices. Additionally, you can trust that your data and trained models are protected by robust enterprise-level security and privacy measures. This ensures confidence in the deployment and management of your innovative computer vision solutions.

Incorporate advanced reading and comprehension features into your applications by utilizing Azure AI Immersive Reader, a specialized service within Azure Applied AI. This solution enhances Azure AI Services to facilitate the development of AI-driven applications that support users of diverse ages and reading skills, offering tools such as read-aloud functionality, language translation, and focused attention through various design elements like highlighting. Notably, Azure stands out as the sole major cloud provider that offers this innovative text-reading technology, making it accessible without the need for machine learning expertise. Enhance literacy effectively with a comprehensive array of established features designed to improve reading skills. Foster engagement with your audience through a rich, multisensory approach to learning that incorporates reading aloud, multilingual translation, text highlighting, and the visualization of word meanings with illustrative content. With the power of AI Immersive Reader, a single API call is all that is necessary to significantly elevate literacy levels for readers. This versatility ensures that users can benefit from an intuitive and enriching experience while interacting with text.

The Azure Health Bot enables healthcare developers to create and implement AI-driven conversational experiences that are compliant and scalable. This platform integrates a comprehensive medical database with advanced natural language processing to accurately interpret clinical language, allowing for easy customization tailored to specific organizational needs. It adheres to stringent industry compliance standards while ensuring privacy protection in accordance with HIPAA regulations. Users can develop health bots that utilize pre-existing medical knowledge bases, triage systems, and language models specifically designed for clinical contexts. Additionally, the service facilitates a smooth transition from bot interactions to real-time support from healthcare professionals, such as doctors or nurses. To streamline the development of healthcare applications, it offers a collection of scenario templates tailored to the industry, which can significantly expedite the building process. Furthermore, organizations can enhance their unique scenarios through specialized configuration options and extensibility tools, ensuring that their health bots are both effective and relevant to their specific needs. This versatility makes the Azure Health Bot an invaluable resource for improving patient engagement and managing health-related inquiries efficiently.

AI Document Intelligence is an advanced AI service designed to utilize sophisticated machine learning techniques for the automatic and precise extraction of text, key-value pairs, tables, and other structural elements from various documents. By transforming documents into actionable data, users can redirect their efforts towards leveraging information rather than simply gathering it. Users have the option to begin with existing models or develop personalized models suited to their specific documents, whether on-premises or in the cloud, using the AI Document Intelligence studio or SDK. This technology enables businesses to streamline their processes through the automation of text extraction, significantly enhancing efficiency. The accompanying webinar provides practical demonstrations for essential applications, including document processing, knowledge mining, and customization of AI models for specific industries. With the capability to accurately extract text, key-value pairs, and tables from an array of document types such as forms, receipts, invoices, and cards, there is no need for manual labeling, extensive coding, or ongoing maintenance. Additionally, users can utilize custom forms, prebuilt APIs, and layout APIs offered by AI Document Intelligence to efficiently extract necessary information, propelling their operations into a new realm of productivity and innovation. This comprehensive approach allows organizations to harness the power of AI in managing their documentation seamlessly.

Effortlessly create customer-facing reports, dashboards, and analytics within your applications by utilizing and personalizing Power BI as your own solution. Streamline developer efforts by automating the oversight, management, and deployment of analytics, while retaining complete control over Power BI's functionalities and intelligent analytics capabilities. Dive into the Power BI embedded analytics playground to gain practical experience with sample code or integrate your own reports seamlessly. Check out interactive showcases to discover how a Power BI Embedded setup can cater to your organization’s and customers’ requirements. By embedding fully interactive reports and dashboards into your applications, you can differentiate yourself from competitors without the substantial time and cost of developing and maintaining analytics in-house. With a wide array of visuals to select from and features ranging from basic reporting to sophisticated analytics, you have the power to define how you present analytics to your users, enhancing their experience significantly. This flexibility not only boosts user engagement but also facilitates data-driven decision-making within your organization.

Prioritize application innovation rather than database oversight by utilizing the fully managed and intelligent Azure Database for PostgreSQL service. Effortlessly scale your workloads while maintaining confidence in performance. Benefit from remarkable high availability, guaranteed by a service-level agreement (SLA) that promises up to 99.99 percent uptime, and select between same-zone or zone-redundant high availability options, coupled with AI-driven performance insights and robust enterprise security features. Concentrate on application development with a PostgreSQL database offered as a managed service. The zone-redundant high availability feature streamlines maintenance, patching, and updates for your convenience. Set up your database in mere minutes and adjust compute or storage resources independently as needed. Reduce expenses with extensive database monitoring and optimization resources that ensure efficiency. Leverage intelligent performance recommendations to maintain optimal application functionality. Seamlessly migrate your data using a fully managed PostgreSQL database that supports the latest versions and technologies. Moreover, enhance your projects with popular PostgreSQL extensions, including Cron, PostGIS, PLV8, and more, to unlock a wider range of functionalities.

When developing applications, Azure Database for MySQL stands out as a cost-efficient solution that is straightforward to configure, manage, and scale. It offers robust security measures, exceptional uptime with a service-level agreement (SLA) that reaches up to 99.99 percent, and a fully managed MySQL service that aligns with the latest community editions, ensuring extensive flexibility for database management. Additionally, it provides intelligent performance insights that deliver tailored analysis and recommendations for optimizing MySQL databases. The development process is further streamlined through seamless integration with Azure App Service and Azure Kubernetes Service (AKS), enhancing the overall experience. With enterprise-level security and compliance measures, including the advanced capabilities of Microsoft Defender for Identity, users can confidently build or transition their workloads to this platform. Furthermore, users can efficiently establish, oversee, and automate the upkeep of their MySQL database server, encompassing regular updates, backups, and security measures. Developers can leverage the newest MySQL tools, drivers, and programming languages to maximize their productivity and project success. This powerful combination of features makes Azure Database for MySQL an ideal choice for modern application development.

Introducing a compact, edge-optimized SQL database engine that integrates artificial intelligence: Azure SQL Edge. This powerful Internet of Things (IoT) database is specifically designed for edge computing, offering features like data streaming and time series analysis alongside in-database machine learning and graph capabilities. By extending the highly regarded Microsoft SQL engine to edge devices, it ensures uniform performance and security across your entire data infrastructure, whether in the cloud or at the edge. You can create your applications once and deploy them seamlessly across various environments, including edge locations, on-premises data centers, or Azure. With integrated data streaming and time series functionalities, along with advanced analytics powered by machine learning and graph features, users benefit from low-latency performance. It enables efficient data processing at the edge, accommodating online, offline, or hybrid scenarios to address challenges related to latency and bandwidth. Updates and deployments can be managed easily via the Azure portal or your organization’s portal, ensuring consistent security and streamlined operations. Furthermore, leverage the built-in machine learning capabilities to detect anomalies and implement business logic directly at the edge, enhancing real-time decision-making and operational efficiency. This comprehensive solution empowers organizations to harness the full potential of their data, regardless of its location.

SQL Managed Instance, a member of the Azure SQL family, is a sophisticated cloud database solution that offers extensive compatibility with the SQL Server engine, dating back to SQL Server 2008, while providing the advantages of a fully managed platform as a service. By utilizing tools such as Azure Migrate or Azure Data Studio, you can confidently transition your custom and vendor applications to Azure, alleviating concerns about software updates, upgrades, or end-of-support scenarios. Since SQL Managed Instance operates on the SQL Server engine, it consistently incorporates the latest features and functionalities, ensuring your database remains current. Remarkably, it can fulfill your mission-critical needs up to five times faster and at a cost savings of up to 93 percent compared to AWS RDS. In various benchmarks covering both transactional and analytics workloads, SQL Managed Instance has demonstrated superior performance. Embrace the opportunity to accelerate your application modernization by leveraging the advanced capabilities of managed SQL Server in the cloud, empowering your organization to thrive in a competitive landscape.

Efficiently manage mission-critical workloads at scale using Azure Managed Instance for Apache Cassandra, ensuring a cost-effective solution. Adapt seamlessly to fluctuating demands through a variety of resource and data replication choices. Maintain business continuity by enabling zero downtime scalability for both hybrid and cloud environments. Accelerate application development with the use of familiar and fully compatible Cassandra tools and programming languages. Eliminate the burden of infrastructure management while upholding security standards. Operate your workloads on a managed and secure service that simplifies processes with automated repairs, updates, and patches. Enhance your database's durability and resilience through automatic backups and comprehensive disaster recovery plans. Enjoy the flexibility and control of your hardware setup with turnkey scaling services and hybrid deployment alternatives. With an instance-based pricing model, you can specify your requirements for CPU cores, virtual machine SKU, and memory/disk space needs, allowing for tailored resource allocation. This approach ensures that you can scale your operations effectively while only paying for what you need.

A secure and unalterable data repository is established within trusted execution environments (TEEs), further reinforced by cryptographic evidence. Azure Confidential Ledger offers a decentralized and managed ledger system for data entries that utilises blockchain technology. Safeguard your information whether it is stored, transmitted, or actively in use through the implementation of hardware-backed secure enclaves found in Azure's confidential computing services. This ensures that your sensitive data remains unchanged over time. The blockchain’s decentralized framework employs consensus-driven replicas and cryptographically secured blocks to guarantee the perpetual integrity of the information recorded in the Confidential Ledger. A forthcoming enhancement will allow the inclusion of multiple participants to engage in decentralized ledger operations through the consortium model, an essential aspect of blockchain technology. You can have confidence that your data is immutable by conducting your own verification processes. Tamper evidence can be exhibited across server nodes, the recorded blocks on the ledger, and all transactions carried out by users, thereby enhancing trust in the system's integrity. Furthermore, this robust framework fosters a collaborative environment where stakeholders can work together while ensuring data security and accountability.

Batch facilitates the execution of applications across workstations and clusters, making it simple to enable your executable files and scripts for cloud scalability. It operates a queue system designed to handle tasks you wish to run, effectively executing your applications as needed. To leverage Batch effectively, consider the data that must be uploaded to the cloud for processing, how that data should be allocated across various tasks, the necessary parameters for each job, and the commands required to initiate the processes. Visualize this as an assembly line where different applications interact seamlessly. With Batch, you can efficiently share data across different stages and oversee the entire execution process. It operates on a demand-driven basis rather than adhering to a fixed schedule, allowing customers to run their cloud jobs whenever necessary. Additionally, it's vital to manage user access to Batch and regulate resource utilization while ensuring compliance with requirements like data encryption. Comprehensive monitoring features are in place to provide insight into the system's status and to help quickly identify any issues that may arise, ensuring smooth operation and optimal performance. Furthermore, the flexibility in resource scaling allows for efficient handling of varying workloads, making Batch an essential tool for cloud-enabled applications.

Assist developers and testers in creating extensive load simulations and executing tests with a completely managed load-testing solution designed for Azure. You can quickly set up tests without needing expertise in load-testing tools or simply upload your pre-existing Apache JMeter scripts. This service provides valuable insights into performance, scalability, and capacity, facilitating ongoing enhancements through automated continuous integration and continuous delivery (CI/CD) processes. By monitoring how a significant load impacts your application's performance, you can fine-tune its scalability and capacity. Obtain in-depth, actionable insights and suggestions from a well-rounded perspective of tailored client and server metrics, allowing you to comprehend and enhance app performance on a large scale—all available on one unified dashboard. Additionally, you can visually compare different load tests to evaluate the impact of application and environmental modifications, alongside how these tests influence every component of your app. This comprehensive approach ensures that your application is not only resilient but also primed for future growth and efficiency.

Azure Managed Grafana offers a comprehensive, fully managed platform for monitoring and analytics needs. Backed by Grafana Enterprise, it delivers customizable and extensible data visualizations. Users can swiftly deploy Grafana dashboards with inherent high availability while managing access through Azure's security features. It supports a broad array of data sources, enabling connections to various data repositories both within Azure and beyond. By integrating charts, logs, and alerts, users can achieve a unified overview of their applications and infrastructure. Additionally, it allows for the correlation of data across different datasets, enhancing analysis capabilities. Users can easily share Grafana dashboards with colleagues and external partners, fostering collaboration in monitoring and troubleshooting solutions. This makes Azure Managed Grafana an invaluable tool for teams seeking to improve their operational efficiency and data-driven decision-making.

Execute your workloads and gain immediate actionable insights at the source of data generation with Azure Stack Edge, which offers specialized hardware-as-a-service. You can effortlessly procure your appliance through the Azure portal, adopting a hardware-as-a-service approach that is billed monthly through your Azure subscription. Experience a fluid cloud-to-edge integration as you set up, oversee, and upgrade your Azure Stack Edge using the same management interface and development tools familiar from Azure. Deploy your containerized applications and virtual machines directly at the data creation point for optimal efficiency. Process, transform, and filter your data on the edge, transmitting only the essential information to the cloud for additional processing or storage requirements. Additionally, you can design and train machine learning models in Azure or leverage Azure Cognitive Services, utilizing the integrated NVIDIA T4 GPU or Intel VPU in the Mini R to enhance local processing speeds. This enables businesses to make data-driven decisions faster than ever, significantly improving operational effectiveness.

Machine learning-driven speech technologies enable the development of voice assistants, streamline call center operations, and enhance service quality monitoring among various other applications. Utilize the cutting-edge technology that powers the highly acclaimed Alice voice assistant, now available for your organization. In mere moments, SpeechKit can precisely interpret speech, facilitating swift and seamless communication for our clients' voice assistants. You can select the version that best meets your needs; the comprehensive version builds an intelligent voice assistant, while the adaptive version can provide your brand with a distinct voice within just a month. This solution caters to the most exacting clients who require oversight of speech processing and synthesis within their own systems. SpeechKit’s machine learning models are now ready to be implemented in your infrastructure, with options for both hybrid configurations and completely on-premise deployments suitable for sensitive data. Furthermore, the service is capable of recognizing audio formats such as MP3, LPCM, and OggOpus, ensuring versatility in audio processing. This wide array of options allows businesses to tailor their speech technology solutions to their specific operational needs effectively.

Azure Health Data Services represents a collection of specialized technologies designed for managing protected health information (PHI) in a cloud environment. This service is founded on widely accepted global standards such as Fast Healthcare Interoperability Resources (FHIR)® and Digital Imaging Communications in Medicine (DICOM). It ensures the protection of data privacy while adhering to compliance regulations, allows for the de-identification of data to facilitate secondary uses, and enables the generation of valuable insights through analytics and AI capabilities. As an upgraded version of the Azure API for FHIR, it introduces enhanced technologies and services. Current users can maintain their experience without any service interruptions or modifications to pricing. By unifying healthcare data within the cloud, it simplifies the exchange of PHI throughout the entire care continuum. Additionally, it standardizes a variety of data sources, including clinical, imaging, device, and unstructured data, by utilizing FHIR, DICOM, and MedTech services, thereby enhancing interoperability and efficiency in healthcare delivery. This comprehensive approach aims to improve patient outcomes and streamline healthcare operations.

Azure Data Manager for Energy empowers energy firms to derive actionable insights, enhance operational efficiency, and speed up market readiness through the robust, cloud-based OSDU® Data Platform service. By offering a versatile and open energy platform, it enables developers to create and tailor solutions that drive innovation. This open platform not only fosters decision-making but also facilitates the rapid development of cutting-edge digital solutions. Organizations can effortlessly implement strategies that boost agility while optimizing workflows related to seismic activities, wellbores, and reservoirs. Transitioning to a high-grade cloud environment allows companies to maintain their competitive edge in a global market. Furthermore, the integration process is streamlined, reducing implementation costs and expediting time to market with the help of built-in tools that ensure compliance and simplify development within the OSDU data platform. This approach not only supports operational growth but also encourages continuous innovation within the energy sector.

Create and provide comprehensive, ready-to-use applications tailored for your enterprise IT clientele. The service catalog empowers organizations to establish a collection of sanctioned solutions for Azure, simplifying the process of obtaining new offerings and enhancing the overall user experience. By offering Azure Managed Applications within this service catalog, managed service providers (MSPs) and independent software vendors (ISVs) can effortlessly construct and deliver fully managed, turnkey applications to their customers. This approach allows you to present a seamless solution, eliminating the need for your clients to invest time in understanding cloud infrastructure to benefit from your applications. Moreover, you can ensure that your clients utilize solutions that align with their organizational standards, ultimately reinforcing their trust in your offerings. This method not only streamlines deployment but also fosters a sense of security and compliance among your customer base.

The Azure Web Application Firewall is a cloud-based solution designed to safeguard web applications against prevalent hacking methods, including SQL injection and cross-site scripting vulnerabilities. You can set up this service in minutes, enabling you to gain full visibility into your environment while effectively blocking malicious attacks. With the latest managed and preconfigured rule sets, you can protect your web applications quickly and efficiently. The detection engine of Azure Web Application Firewall, coupled with continuously updated rule sets, enhances security measures, minimizes false positives, and optimizes performance. Additionally, Azure Policy can be utilized to enforce organizational standards and assess compliance across Web Application Firewall resources on a large scale. By utilizing these tools, you can achieve a comprehensive overview of your environment's security posture. Ultimately, this proactive approach helps ensure your web applications remain secure and resilient against evolving threats.

Azure Route Server facilitates the dynamic exchange of routing information between network appliances and Azure virtual networks. By setting up your network appliances along with Azure ExpressRoute and VPN gateways, you can automatically receive the most current route information from Azure Route Server, eliminating the need for manual configuration of each connection. This tool allows for dynamic routing between your network appliances and Azure gateways, replacing the traditional static routing method. Azure Route Server operates using Border Gateway Protocol (BGP) endpoints, which utilize standard routing protocols for effective route exchanges. Furthermore, it seamlessly integrates with both existing and new deployments, accommodating various network architectures like hub and spoke, full mesh, or flat virtual networks, ensuring flexibility and efficiency in network management. This capability enhances the overall performance and reliability of your network infrastructure.