Business Software for APERIO DataWise

Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises. Grafana Cloud is the open observability cloud, designed to help engineering teams observe everything and solve anything. Built on open source, open standards, and open ecosystems, it unifies metrics, logs, traces, and profiles in a single platform for full-stack visibility across applications, infrastructure, and digital experiences. At the core is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support allow teams to ingest telemetry from virtually any environment, while hundreds of integrations connect existing tools and data sources without costly rip-and-replace migrations. Grafana Cloud combines powerful analytics with AI-driven observability. Grafana Assistant helps engineers investigate issues, explore telemetry, and troubleshoot faster. Adaptive Telemetry identifies the data that matters most and aggregates the rest, helping organizations reduce telemetry costs while preserving valuable insights . With solutions for Kubernetes monitoring, application observability, digital experience monitoring, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers a complete observability platform that scales with your business.

Microsoft Azure serves as a versatile cloud computing platform that facilitates swift and secure development, testing, and management of applications. With Azure, you can innovate purposefully, transforming your concepts into actionable solutions through access to over 100 services that enable you to build, deploy, and manage applications in various environments—be it in the cloud, on-premises, or at the edge—utilizing your preferred tools and frameworks. The continuous advancements from Microsoft empower your current development needs while also aligning with your future product aspirations. Committed to open-source principles and accommodating all programming languages and frameworks, Azure allows you the freedom to build in your desired manner and deploy wherever it suits you best. Whether you're operating on-premises, in the cloud, or at the edge, Azure is ready to adapt to your current setup. Additionally, it offers services tailored for hybrid cloud environments, enabling seamless integration and management. Security is a foundational aspect, reinforced by a team of experts and proactive compliance measures that are trusted by enterprises, governments, and startups alike. Ultimately, Azure represents a reliable cloud solution, backed by impressive performance metrics that validate its trustworthiness. This platform not only meets your needs today but also equips you for the evolving challenges of tomorrow.

AWS is the leading provider of cloud computing, delivering over 200 fully featured services to organizations worldwide. Its offerings cover everything from infrastructure—such as compute, storage, and networking—to advanced technologies like artificial intelligence, machine learning, and agentic AI. Businesses use AWS to modernize legacy systems, run high-performance workloads, and build scalable, secure applications. Core services like Amazon EC2, Amazon S3, and Amazon DynamoDB provide foundational capabilities, while advanced solutions like SageMaker and AWS Transform enable AI-driven transformation. The platform is supported by a global infrastructure that includes 38 regions, 120 availability zones, and 400+ edge locations, ensuring low latency and high reliability. AWS integrates with leading enterprise tools, developer SDKs, and partner ecosystems, giving teams the flexibility to adopt cloud at their own pace. Its training and certification programs help individuals and companies grow cloud expertise with industry-recognized credentials. With its unmatched breadth, depth, and proven track record, AWS empowers organizations to innovate and compete in the digital-first economy.

Power BI provides advanced data analysis, leveraging AI features to transform complex datasets into visual insights. It integrates data into a single source, OneLake, reducing duplication and streamlining analysis. The platform enhances decision-making by integrating insights into everyday tools like Microsoft 365 and is bolstered by Microsoft Fabric for data team empowerment. Power BI is scalable, handling extensive data without performance loss, and integrates well with Microsoft's ecosystem for coherent data management. Its AI tools are user-friendly and contribute to efficient and accurate insights, supported by strong data governance measures. The Copilot function in Power BI enables quick and efficient report creation. Power BI Pro licenses individuals for self-service analytics, while the free account offers data connection and visualization capabilities. The platform ensures ease of use and accessibility, backed by comprehensive training. It has shown a notable return on investment and economic benefits, as reported in a Forrester study. Gartner's Magic Quadrant recognizes Power BI for its ability to execute and completeness of vision.

Tableau, an industry-leading analytics platform, empowers businesses to make smarter, data-driven decisions with AI-powered insights and advanced data visualization. By leveraging Tableau Next, which integrates seamlessly with Salesforce and Agentforce, users can access intelligent analytics and unlock the full potential of their data. Tableau provides flexible deployment options—whether cloud-based, on-premises, or directly integrated with Salesforce CRM—ensuring organizations can access a comprehensive data management solution. With built-in AI and machine learning capabilities, Tableau helps users uncover patterns, predict outcomes, and improve decision-making at every level of the organization. Its intuitive interface allows analysts, business leaders, and IT teams to explore data, visualize trends, and collaborate efficiently, while fostering a Data Culture that accelerates innovation and enhances operational efficiency.

IBM Cloud® offers features that enhance both business agility and resilience, allowing users to discover a platform that provides 2.5 times the value. Tailored for various industries, it emphasizes security and the flexibility to develop and operate applications in any environment. The platform facilitates the transformation of business workflows through the integration of automation and artificial intelligence. Furthermore, it boasts a robust technology partner ecosystem that addresses specific industry demands, leveraging deep expertise and tailored solutions. Its processes are automated and auditable, ensuring compliance and efficiency. With unique functionalities ensuring top-tier cloud security and monitoring, users benefit from a uniform security and control framework across all applications. Additionally, its containerized solutions foster seamless DevOps practices, automation, data management, and security enhancements. The platform offers streamlined integration along with a consistent application development lifecycle, making it user-friendly. Beyond these features, IBM Cloud harnesses advanced technologies such as IBM Watson®, analytics, the Internet of Things (IoT), and edge computing, enabling businesses to innovate and stay ahead of the competition.

Snowflake offers a unified AI Data Cloud platform that transforms how businesses store, analyze, and leverage data by eliminating silos and simplifying architectures. It features interoperable storage that enables seamless access to diverse datasets at massive scale, along with an elastic compute engine that delivers leading performance for a wide range of workloads. Snowflake Cortex AI integrates secure access to cutting-edge large language models and AI services, empowering enterprises to accelerate AI-driven insights. The platform’s cloud services automate and streamline resource management, reducing complexity and cost. Snowflake also offers Snowgrid, which securely connects data and applications across multiple regions and cloud providers for a consistent experience. Their Horizon Catalog provides built-in governance to manage security, privacy, compliance, and access control. Snowflake Marketplace connects users to critical business data and apps to foster collaboration within the AI Data Cloud network. Serving over 11,000 customers worldwide, Snowflake supports industries from healthcare and finance to retail and telecom.

The Jupyter Notebook is a web-based open-source tool that enables users to create and distribute documents featuring live code, visualizations, equations, and written explanations. Its applications are diverse and encompass tasks such as data cleaning and transformation, statistical modeling, numerical simulations, data visualization, machine learning, among others, showcasing its versatility in various fields. Additionally, it serves as an excellent platform for collaboration and sharing insights within the data science community.

Incorporate analytics seamlessly into any application or workflow to empower critical decision-making with assurance. By embedding analytics into daily operations and applications, businesses can enhance their decision-making processes, leading to quicker and more informed choices for both the organization and its customers. Tailor analytics to fit your applications and products, ensuring that they are both intuitive and user-friendly. Enhance user engagement, increase adoption rates, and improve retention through a predictive analytics platform powered by AI, designed specifically for achieving business success. Utilize Sisense, a top-tier Business Intelligence (BI) reporting tool, to prepare, analyze, and delve into data sourced from various origins. Renowned firms such as NASDAQ, Phillips, and Airbus rely on Sisense, which provides a comprehensive, agile BI platform that facilitates rapid, insightful data-driven decisions. With an open, unified architecture, a superior analytics engine, machine learning capabilities, and the delivery of insights that extend beyond traditional dashboards, Sisense positions itself as a leader in the BI domain, ensuring businesses can thrive in a data-centric landscape. This powerful tool not only streamlines data analysis but also fosters a culture of informed decision-making within organizations.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

ABB Analyze is a specialized informatics service aimed at assisting business owners in evaluating and monitoring their performance, discovering opportunities for growth, and benchmarking their results against their competitors. In order to foster improvement, measurement is essential; after all, you can't enhance what you don't quantify. We take pride in surpassing expectations by offering an unparalleled array of statistics to our users. Begin by completing our online form, and one of our dedicated team members will reach out to gather additional information about your practice. ABB Analyze is paving the way for the future of healthcare analytics through performance dashboards that enable you to assess your business's success effectively. Our service guarantees the integration of top-tier healthcare information technologies and practice management resources, which are sent directly to you, highlighting your strengths, weaknesses, opportunities, and threats. Additionally, you can track your results and compare them with similar-sized peers at both regional and national levels, fostering a competitive edge in the healthcare industry. The insights provided by ABB Analyze empower you to make informed decisions that drive meaningful change in your practice.

Amazon QuickSight empowers individuals within organizations to gain insights from their data by posing questions in everyday language, navigating through dynamic dashboards, or utilizing machine learning to identify trends and anomalies. It facilitates millions of dashboard interactions each week for notable clients such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western, and Comcast, enabling their users to make informed, data-driven choices. By engaging in conversational inquiries about your data, you can utilize Q's machine learning capabilities to generate pertinent visualizations without the need for extensive data preparation by authors and administrators. This platform also enables the discovery of concealed insights, accurate forecasting, and scenario analysis, while providing the option to enrich dashboards with clear, natural language narratives, all made possible by AWS's machine learning expertise. Additionally, users can seamlessly incorporate interactive visualizations, advanced dashboard design features, and natural language querying capabilities into their applications, streamlining the process of data analysis across various platforms. Thus, QuickSight not only enhances the way organizations interact with their data but also simplifies the journey of transforming raw information into actionable insights.

Azure Machine Learning Studio enables organizations to streamline the entire machine learning lifecycle from start to finish. Equip developers and data scientists with an extensive array of efficient tools for swiftly building, training, and deploying machine learning models. Enhance the speed of market readiness and promote collaboration among teams through leading-edge MLOps—akin to DevOps but tailored for machine learning. Drive innovation within a secure, reliable platform that prioritizes responsible AI practices. Cater to users of all expertise levels with options for both code-centric and drag-and-drop interfaces, along with automated machine learning features. Implement comprehensive MLOps functionalities that seamlessly align with existing DevOps workflows, facilitating the management of the entire machine learning lifecycle. Emphasize responsible AI by providing insights into model interpretability and fairness, securing data through differential privacy and confidential computing, and maintaining control over the machine learning lifecycle with audit trails and datasheets. Additionally, ensure exceptional compatibility with top open-source frameworks and programming languages such as MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R, thus broadening accessibility and usability for diverse projects. By fostering an environment that promotes collaboration and innovation, teams can achieve remarkable advancements in their machine learning endeavors.

Actian DataConnect stands out as a dynamic hybrid integration platform that allows users to seamlessly connect various systems from any location at any time. This solution facilitates rapid design, deployment, and management in on-premise, cloud, or hybrid settings, streamlining the integration process. By promoting reuse, adaptability, and self-service capabilities, DataConnect significantly accelerates onboarding and enhances the speed at which value is realized. The innovative UniversalConnect™ technology, protected by patents, serves as a smart and flexible agent framework, enabling connections to nearly any data source, regardless of format, location, or protocol. With an intuitive and code-free interface, users can effortlessly design, configure, manage, and troubleshoot integrations in real-time. UniversalConnect™ not only simplifies connections to diverse data sources and applications but also allows for flexible deployment options, whether on-premise, in the cloud, or within hybrid environments. Furthermore, this adaptability ensures that integrations can be easily embedded into SaaS applications or utilized in various deployment models, further enhancing user experience and operational efficiency.

The Waylay platform is a modular IoT solution that offers top-tier OEM technology for backend development and operational processes, facilitating the rapid delivery of IoT solutions on a large scale. It features sophisticated rule logic modeling, execution capabilities, and comprehensive lifecycle management. This platform allows for the automation of various data workflows, regardless of their complexity. Designed to seamlessly handle the diverse data patterns found in IoT, OT, and IT, Waylay integrates both streaming and time series analytics into a single, collaborative intelligence environment. By providing non-developer teams with user-friendly, self-service apps focused on key performance indicators, it significantly shortens the time to market for IoT products. Users can identify the most effective automation tools for their specific IoT applications and evaluate them against established benchmarks. Additionally, developing IoT applications diverges significantly from traditional IT development, as it entails connecting the physical realm of Operations Technology, which involves sensors and actuators, with the digital landscape of Information Technology, encompassing databases and software systems. This bridging of worlds highlights the unique challenges and opportunities presented by IoT application development.

Tools for decision support tailored to the process industries link self-optimizing plants to the value chain at every operational level, encompassing execution, tactical planning, and extending to strategic business planning. Elevate strategic business planning by integrating advanced modeling techniques, economic insights, robust optimization, and comprehensive what-if scenario analyses. Develop solid and optimized plans that comprehensively represent the supply chain, production capabilities, constraints, and financial aspects. Achieve seamless operations through enhanced scheduling optimization and alignment between supply chain management and operational processes. AspenTech stands out as a premier provider of solutions for enterprise asset performance management, asset performance monitoring, and optimization. Their comprehensive suite of asset management software empowers organizations to refine their engineering and maintenance workflows, resulting in minimized downtime and heightened operational efficiency. This capability is essential for companies striving to maintain a competitive edge in an increasingly demanding market.

TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.

Since its emergence in 2010, Hadoop has established itself as a crucial component of the data management ecosystem. Throughout the past decade, a significant number of organizations have embraced Hadoop to enhance their data lake frameworks. While Hadoop provided a budget-friendly option for storing vast quantities of data in a distributed manner, it also brought forth several complications. Operating these systems demanded specialized IT skills, and the limitations of on-premises setups hindered the ability to scale according to fluctuating usage requirements. The intricacies of managing these on-premises Hadoop configurations and the associated flexibility challenges are more effectively resolved through cloud solutions. To alleviate potential risks and costs tied to data modernization initiatives, numerous businesses have opted to streamline their cloud data migration processes with WANdisco. Their LiveData Migrator serves as a completely self-service tool, eliminating the need for any WANdisco expertise or support. This approach not only simplifies migration but also empowers organizations to handle their data transitions with greater efficiency.

The Qlik Data Integration platform designed for managed data lakes streamlines the delivery of consistently updated, reliable, and trusted data sets for business analytics purposes. Data engineers enjoy the flexibility to swiftly incorporate new data sources, ensuring effective management at every stage of the data lake pipeline, which includes real-time data ingestion, refinement, provisioning, and governance. It serves as an intuitive and comprehensive solution for the ongoing ingestion of enterprise data into widely-used data lakes in real-time. Employing a model-driven strategy, it facilitates the rapid design, construction, and management of data lakes, whether on-premises or in the cloud. Furthermore, it provides a sophisticated enterprise-scale data catalog that enables secure sharing of all derived data sets with business users, thereby enhancing collaboration and data-driven decision-making across the organization. This comprehensive approach not only optimizes data management but also empowers users by making valuable insights readily accessible.

Managed Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.

For those who prioritize security, QxControl offers a cohesive, cloud-based physical security solution. This innovative platform redefines video management and access control software, allowing commercial clients to supervise their security systems from any location and on any browser-enabled device, all while ensuring a cybersecure and user-friendly interface. Its modern design is compatible with desktops, mobile devices, and any browser-equipped gadget, making it accessible wherever there is internet connectivity. The open platform architecture empowers integrators to select the most suitable cameras, door controllers, and analytics available, while also facilitating the use of existing infrastructure during upgrades of outdated systems. Users benefit from comprehensive control over storage options through cloud-connected, secure gateways and external cloud storage solutions. This advancement eliminates the frustrations associated with legacy systems, such as the need for manual software updates, the hassle of downloading bulky client applications, the reliance on cumbersome NVRs, and the risks tied to insecure port-forwarding. With QxControl, security management becomes streamlined and efficient, allowing businesses to focus on their core operations without the distraction of outdated technologies.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.