IBM Streams
Acquire, Analyze and Act in Real Time
IBM Streams enables continuous and fast analysis of massive volumes of moving data to help improve the speed of business insight and decision making.
What’s New in IBM Streams V4.3.0
Streams analyzes a broad range of streaming data, such as unstructured text, video, audio, geospatial, sensor data, and transactional data to help organizations identify opportunities, minimize risks, and improve decision-making through near real-time delivery of insights by continuously analyzing streams of data. Streams V4.3.0 offers these new capabilities and benefits:
- Apache Beam runner enables Apache Beam applications to run on Streams, which brings higher performance and improved run platform reliability.
- Dynamic and elastic scalability enables clients to make better use of existing resources to lower total cost of ownership, and more easily scale up and scale down.
- Rolling upgrade improvements will simplify migrating to the latest release of Streams to more quickly take advantage of new improvements.
- New Optional Data Type allow developers to more easily integrate with systems that use NULL values.
- Enhanced job scheduling capabilities also improve resource utilization.
IBM Streams Overview
IBM Streams is a software platform that enables the development and execution of applications that process information in data streams. IBM Streams enables continuous and fast analysis of massive volumes of moving data to help improve the speed of business insight and decision making.
- Supports analysis of continuous data including text, images, audio, voice, video, web traffic, email, GPS data, financial transactions, satellite data and sensor logs.
- Includes toolkits and accelerators for advanced analytics, including a telco event data accelerator that analyzes large volumes of streaming data from telecommunications systems in near real time and a social data accelerator for analyzing social media data.
- Distributes portions of programs over one or more nodes of the runtime computing cluster to help achieve volumes in the millions of messages per second with velocities of under a millisecond.
- Allows you to filter and extract only relevant data from unimportant volumes of information to help reduce data storage costs.
- Scales from a single server to thousands of computer nodes based on data volumes or analytics complexity.
- Provides security features and confidentiality for shared information.
- Allows you to build applications with drag operators, and dynamically add new views to running applications using data visualization capabilites such as charts and graphs.
- Enables you to create, edit, visualize, test, debug and run Streams Processing Language (SPL) applications.
- Provides composites capability to increase application modularity and support large or distributed application development teams.
- Allows you to nest and aggregate data types within a single stream definition.
- Enables applications to be built on a development cluster and moved into production without recompiling.
- Adapts to rapidly changing data forms and types.
- Allows you to quickly develop new applications that can be mapped to a variety of hardware configurations.
- Supports reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.
- Includes a limited license for IBM BigInsights, a Hadoop-based offering for analyzing large volumes of unstructured data at rest.
- Integrates with IBM DB2, IBM Informix, IBM PureData System Oracle, Microsoft SQLServer and MySQL, and more.
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