Reviews for 'Application Development, Integration and Management - Others'
"Application integration platforms enable independently designed applications, apps and services to work together. Key capabilities of application integration technologies include: • Communication functionality that reliably moves messages/data among endpoints. • Support for fundamental web and web services standards. • Functionality that dynamically binds consumer and provider endpoints. • Message validation, mapping, transformation and enrichment. • Orchestration. • Support for multiple interaction patterns, content-based routing and typed messages.
Application platforms provide runtime environments for application logic. They manage the life cycle of an application or application component, and ensure the availability, reliability, scalability, security and monitoring of application logic. They typically support distributed application deployments across multiple nodes. Some also support cloud-style operations (elasticity, multitenancy and self-service).
B2B gateway software is integration middleware that supports information exchange between your organization and its ecosystem trading partners, applications and endpoints. BGS consolidates and centralizes data and process integration and interoperability between a company's internal applications and external endpoints, such as business partners, SaaS or ecosystems. The BGS market is a composite market that includes pure-play BGS solutions and BGS that is embedded or combined with other IT solutions (for example, ESB suites that support BGS features as services connected to the ESB suite, integration brokerage services, e-invoicing software and networks, application platform suites, electronic data interchange [EDI] translators, and managed file transfer [MFT] technology).
The Business Process Automation Tools market is the natural evolution of the earlier Intelligent Business Process Management Suites (iBPMS) market, adding more capabilities for greater intelligence within business processes. The Business Process Automation Tools have enhanced their core offerings by acquiring or building adjacent capabilities such as low-code application development, process mining, task mining, document management, AI/ML and process analytics.
Gartner defines business processes as the coordination of the behavior of people, systems and things to produce specific business outcomes. "Things" in this context refers to devices that are part of the Internet of Things (IoT). A BPM platform minimally includes: a graphical business process and/or rule modeling capability, a process registry/repository to handle the modeling metadata, a process execution engine and a state management engine or rule engine (or both). The three types of BPM platforms — basic BPM platforms, business process management suites (BPMSs), and intelligent business process management suites (iBPMSs) — can help solution architects and business outcome owners accelerate application development, transform business processes, and digitalize business processes to exploit business moments by providing capabilities that manage different aspects of the business process life cycle.
Reviews for 'Data and Analytics - Others'
EA tools allow organizations to examine both the need for, and the impact of, change. They capture the interrelationships and interdependencies within and between an ecosystem of partners, operating models, capabilities, people, processes, information, and applications and technologies. They provide a central repository to capture data and metadata about the artifacts that an enterprise cares about and their related life cycles. Models represent the relationships between these artifacts and are themselves treated as assets that help describe and shape the future of the enterprise. EA tools help with investment decisions for both IT and the broader enterprise. When models are combined with operational performance data, they can help improve business outcomes and shape the construction and ongoing development of digital platforms.
EBPA is the discipline of business and process modeling aimed at transforming and improving business performance with an emphasis on cross-viewpoint, cross-functional analysis to support strategic and operational decisions.EBPA is based on the principles of collaboration, short-cycle delivery, lightweight but robust modeling, and model governance. The two key principles of EBPA are “see the whole” and “understand the value network.” The former is the basis for model ontology, which expands understanding beyond just process. The latter involves the cross-division, cross-business element of the organization and the connection to external constituents such as clients, suppliers, business partners and ecosystems. EBPA tools are of interest to business architects, enterprise architects, process architects, process analysts and process owners looking to transform and/or optimize their process-related outcomes.
Gartner defines enterprise integration platform as a service (EiPaaS) as a combination of integration technology functionalities that are delivered as a suite of cloud services and designed to support enterprise-class integration initiatives. An EiPaaS provider offers high availability, disaster recovery, security, SLAs and technical support. It also enables users to develop and execute multiple integration scenarios by providing support for multiple personas. The EiPaaS vendor must fully manage platform operations, patching and upgrades. EiPaaS offerings are public, stand-alone products that subscribers use directly, as opposed to integration capabilities embedded in another offering (such as a SaaS application or application PaaS).
The event stream processing (ESP) platform market consists of software systems that perform real-time or near-real-time computations on streaming event data. They execute calculations on unbounded input data continuously as it arrives, enabling immediate responses to current situations and/or storing results in files or databases for later use. Examples of input data include clickstreams, customer orders, payments, insurance claims, social media postings, images, video, emails and other documents, and market data feeds, as well as sensor data from physical assets, such as mobile devices, machines and vehicles.
Gartner defines the full life cycle application programming interface (API) management market as the market for software that supports all stages of an API’s life cycle, namely planning and design, implementation and testing, deployment and operation, and versioning and retirement. Central to full life cycle API management offerings’ capabilities is support in the following functional areas: Developer portals: A self-service catalog of APIs for enabling, marketing to, and governing ecosystems of developers who produce and consume APIs. API gateways: Runtime management, security and usage monitoring for APIs. Policy management and analytics: Security configuration, API mediation and API usage analytics. API design and development: A meaningful developer experience and tools for designing and building APIs, and for API-enablement of existing systems. API testing: From basic mock testing to advanced functional, performance and security testing of APIs.
IMDGs provide a lightweight, distributed, scale-out in-memory object store — the data grid. Multiple applications can concurrently perform transactional and/or analytical operations in the low-latency data grid, thus minimizing access to high-latency, hard-disk-drive-based or solid-state-drive-based data storage. IMDGs maintain data grid durability across physical or virtual servers via replication, partitioning and on-disk persistence. Objects in the data grid are uniquely identified through a primary key, but can also be retrieved via other attributes. The most typical use of IMDGs is for web-scale transaction processing applications. However, adoption for analytics, often in combination with Apache Spark and Hadoop or stream analytics platforms, is growing fast — for example, for fraud detection, risk management, operation monitoring, dynamic pricing and real-time recommendation management.
Gartner defines the market for industrial Internet of Things (IIoT) platforms as a set of integrated software capabilities. These capabilities span efforts to improve asset management decision making, as well as operational visibility and control for plants, depots, infrastructure and equipment within asset-intensive industries. These efforts also occur within related operating environments of those industries. The IIoT platform may be consumed as a technology suite or as an open and general-purpose application platform, or both in combination. The platform is engineered to support the requirements of safety, security and mission criticality associated with industrial assets and their operating environments. The IIoT platform software that resides on devices — such as, controllers, routers, access points, gateways and edge computing systems — is considered part of a distributed IIoT platform.
The integrated IT portfolio analysis (IIPA) market provides technology solutions that can present the interrelated perspectives, views and considerations needed to make strategic decisions, as more enterprises shift from initiating to scaling digital business. IIPA vendors offer versatile and dynamic portfolio analysis and management, enabling users to create, connect and share portfolios. IIPA products can associate defined business objectives and expected business outcomes with a variety of contextual IT portfolios. IT investments, IT projects and programs, IT services, IT assets and applications, and digital products can all be aligned with digital business objectives and outcomes to present a holistic view of how the overall “IT portfolio” will enable scaled digital endeavors. Additionally, IIPA products can also support the accelerating shift from IT project thinking to IT product thinking and management, as well as track DevOps programs.
Integration means making independently designed applications and data work well together. IoT integration means making the mix of new IoT devices, IoT data, IoT platforms and IoT applications — combined with IT assets (business applications, legacy data, mobile, and SaaS) — work well together in the context of implementing end-to-end IoT business solutions. The IoT integration market is defined as the set of IoT integration capabilities that IoT project implementers need to successfully integrate end-to-end IoT business solutions.
Process mining is designed to discover, monitor and improve real processes (not assumed processes) by extracting knowledge from event logs readily available in today’s information systems. Process mining includes automated process discovery (i.e., extracting process models from an event log), conformance checking (i.e., monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, model extension, model repair, case prediction, and history-based recommendations.
Gartner defines the Strategic Portfolio Management market as a set of business capabilities, processes and supporting portfolio management technology. Business leaders, enterprise portfolio management office (EPMO) leaders, and IT leaders require SPM to support enterprise-wide strategy-to-execution alignment and adaptation. The emerging SPM market addresses the integrated portfolio management technology needs of business leaders, EPMO leaders, and IT leaders. SPM technology supports clear definition of key business strategies and desired business outcomes, and formulation and mapping of these with key portfolio elements, such as business capabilities, investments, programs, digital and physical products, applications, and projects.
A DTO is a dynamic software model of any organization that relies on operational and contextual data to understand how an organization operationalizes its business model, connects with its current state, responds to changes, deploys resources and delivers customer value.