InfoSphere Streams

IBM InfoSphere Streams ermöglicht die kontinuierliche und extrem schnelle Analyse großer Volumen von rasch durchfließenden Daten.

Hochleistungscomputersystem, das Daten aus Streams in Echtzeit blitzschnell analysiert und damit die Geschwindigkeit und die Präzision der Entscheidungsfindung in diversen Aktivitätsbereichen wie Gesundheitspflege, Astronomie, Fertigung, Finanztransaktionen etc. erhöht.

• InfoSphere Streams bietet eine Verarbeitungsplattform und Services für benutzerdefinierte Anwendungen, die gegebenenfalls massive Datenvolumen kontinuierlicher Datenströme einlesen, filtern, analysieren und miteinander in Beziehung setzen können. Es unterstützt die Entwicklung neuer Anwendungen in der Form von Streamverarbeitungsgrafiken, die direkt erstellt, mehreren Hardwareversionen zugeordnet und angepasst werden können, wenn Anforderungen eintreffen und sich die relativen Prioritäten verschieben.
• InfoSphere Streams unterstützt hohe Volumina von strukturierten und unstrukturierten Streamdaten wie Bilder, Audio, Sprache, VoIP, Video, TV, Finanznachrichten, Radio, Polizeiscanner, Internetverkehr, E-Mail, Chat, GPS-Daten, Finanztransaktionsdaten, Satellitendaten, Sensoren, Einlesen von elektronischen Ausweisen, etc.
• Unterstützte Betriebssysteme: Linux.

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MehrWeniger

• InfoSphere Streams offers a highly scalable and powerful analytics platform that can handle incredibly high data throughput rates that can range to millions of events or messages per second. Streams has successfully run on clusters that consist of thousands of processor cores. InfoSphere Streams incorporates WebSphere MQ Low Latency Messaging (LLM) transport technology. The WebSphere MQ LLM technology provides InfiniBand support that can enable applications to handle extremely high data throughput with very low latencies, reduced latency variability, and low central processing unit (CPU) consumption.

• InfoSphere Streams offers a highly flexible analytics platform that can not only handle traditional and non-traditional data types such as VoIP, email, audio, video, etc., but also offers a high degree of flexibility in defining very complex and powerful analytics. Streams supports reuse of existing Java or C++ code within the Streams environment.

• InfoSphere Streams provides several features that enhance robustness of its runtime environment. These include ability to seamlessly remove or add processor nodes to or from the cluster without impacting any Streams applications. InfoSphere Streams provides near linear scalability by simply increasing the number of nodes in the cluster:

• In addition to the cluster based run-time platform, InfoSphere Streams includes the Interactive Development Environment (IDE) known as "Streams Studio". Streams Studio is an Eclipse based tool that supports Streams application development with editors, wizards, application structure graphs, and run-time monitoring for Streams applications.

• Enhancements to Streams Processing Language designed to improve productivity and agility

• New database support, including Netezza TwinFin, Microsoft SQLServer, and MySQL

• Health and metrics monitoring of current system status via an XML-based programmatic interface

• Addition of new "composites" capability to increase application modularity to support larger and/or distributed application development teams

• More freedom to nest and aggregate data types within a single stream definition

• Enhancements in InfoSphere Streams Studio to speed writing, testing, and debugging Streams Processing Language applications

• New flexible deployment allows applications to be built on a development cluster and moved into production without recompiling