IBM InfoSphere Products

IBM InfoSphere Products

Featured data management, information integration, and data governance products

IBM BigInsights Standard Edition

IBM InfoSphere BigInsights Standard Edition is an analytics platform, based on open source Apache Hadoop, for analyzing massive volumes of unconventional data in its native format. The software enables advanced analysis and modeling of diverse data, and supports structured, semi-structured and unstructured content to provide maximum flexibility.

  • Fully integrated, completely compatible – Integrated install of Apache Hadoop and associated open source components from the Apache Hadoop ecosystem that is tested and pre-configured.
  • Includes Jaql, a declarative query language, to facilitate analysis of both structured and unstructured data.
  • Provides a web-based management console for easier administration and real-time views.
  • Includes BigSheets, a web-based analysis and visualization tool with a familiar, spreadsheet-like interface that enables easy analysis of large amounts of data and long running data collection jobs.
  • Includes Big SQL, a native SQL query engine that enables SQL access to data stored in BigInsights, leveraging MapReduce for complex data sets and direct access for smaller queries.
IBM BigInsights for Apache Hadoop

IBM BigInsights for Apache Hadoop

Many enterprises would like to capture the benefits of Hadoop, but are facing significant expertise and financial challenges to make it a productive analytics platform. To solve that problem, IBM offers a portfolio that uses both Spark and key IBM data management and analytic tools. It can make Hadoop reliable, performant and scalable – on time and on budget.

IBM BigInsights V4.3 brings together open source Hadoop with robust analytics to deliver value from big data by making it easy to get insights, provide enterprise ready capabilities, and improve usability. Key features:

  • IBM Big SQL
  • Text Analytics
  • Spark 2.1 with machine learning and graph analysis
  • Now supported on IBM Power servers
  • Benefit from 100% open source Hadoop through the IBM Open Platform, which includes all the Hadoop ecosystem components bundled for you.
  • Integrated with Apache Spark for extra processing power.
  • Designed for performance and usability, with performance optimized capabilities, visualization, rich developer tools and powerful analytic functions.
  • Built-in modules support a variety of analytics applications and analytics skill sets
  • Delivers management, security and reliability features to support large-scale deployments and accelerate time to value.
  • Integrates SQL, noSQL, and other data types with Hadoop quickly and easily to enable self-service data access and optimize insight.
  • Supported by IBM’s big data experts 24/7 at no extra charge.
  • Integrated with proven IBM analytics offerings and third-party solutions
  • Provides an ODPi compliant distribution, which is certified to be interoperable so that you don’t have to guess – or worry – about stability.
  • Available on-premises, on-cloud, and integrated with other systems in use today to help you be more agile and efficient.

InfoSphere Information Server

IBM InfoSphere Information Server is IBM’s market-leading information integration platform that helps you understand your data, cleanse, monitor, transform and deliver data.

Helps create and maintain trusted information to support strategic business initiatives including big data, point-of-impact analytics, business intelligences, data warehousing, master data management, and application consolidation and migration.

IBM InfoSphere Information Server V11.7 accelerates the delivery of trusted and meaningful information to your business with enhanced automation and new design and usage experiences:

  • New smart search to discover and view enterprise information
  • Automated data discovery and classification powered by machine learning
  • Policy-and-business-classification-driven data quality evaluation
  • New browser-based cognitive design experience for data engineers
  • New and expanded Hadoop data lake and cloud capabilities and connectivity
  • Single and holistic catalog view of information across the information landscape, enabling users to derive insight through a knowledge graph.
  • Enables collaboration to bridge the gap between business and IT
  • Helps align business and IT objectives
  • Provides metadata integration & data lineage insight
  • Always-on operational data integration & data quality
  • Linear scalability and infrastructure optimization
  • Broad connectivity to nearly all data sources
  • Productivity tools for organizational efficiency
  • Accelerated data integration deployments
  • Can run natively in a Hadoop cluster
InfoSphere Information Server

InfoSphere DataStage

IBM InfoSphere DataStage integrates data across multiple systems using a high performance parallel framework, and it supports extended metadata management and enterprise connectivity. The scalable platform provides more flexible integration of all types of data, including big data at rest (Hadoop-based) or in motion (stream-based), on distributed and mainframe platforms.

  • Powerful, scalable ETL platform—supports the collection, integration and transformation of large volumes of data, with data structures ranging from simple to complex.
  • Support for big data and Hadoop—enables you to directly access big data on a distributed file system, and helps clients more efficiently leverage new data sources by providing JSON support and a new JDBC connector.
  • Near real-time data integration—as well as connectivity between data sources and applications.
  • Workload and business rules management—helps you optimize hardware utilization and prioritize mission-critical tasks.
  • Ease of use—helps improve speed, flexibility and effectiveness to build, deploy, update and manage your data integration infrastructure.
  • Rich support for DB2Z and DB2 for z/OS—including data load optimization for DB2Z and balanced optimization for DB2 on z/OS
  • Deploy on-premises or in the cloud – rapidly provision new ETL environments as project needs dictate.

InfoSphere Master Data Management

InfoSphere MDM manages master data for single or multiple domains – customers, patients, citizens, suppliers, locations, products, services offerings, accounts and more – for improving application & business process effectiveness.

IBM InfoSphere Master Data Management V11.6 is a complete, flexible, and proven master data management (MDM) solution for organizations that have operational, big data, and analytical initiatives that require a foundation of trusted master data.

Version 11.6 includes the following new features and enhancements:

  • Advanced household creation functionality
  • Enhancements to IBM Stewardship Center for MDM
  • Support in Collaborative Edition for Supplier Focused user role
  • Reference Data Management enhancements to Batch Import
  • The addition of Ubuntu as a supported operating system environment
  • Services-oriented architecture delivers functionality through intelligent, pre-packaged web services that can be used to seamlessly integrate MDM into existing business processes and technical architectures
  • Pre-built and extensible data models for any domain are optimized for master data management; import existing data models or build data models from scratch
  • Collaborative tasks allow you to setup workflows that reflect existing and new business processes, delivering a system that closely aligns with your business practices
  • Business process management capabilities enable you to implement policies and coordinate multi-step / multi-role workflows for data stewardship and data governance on-premises, in the cloud, and bridging between on-premises and cloud
  • Policy management ensures high master data quality via a quantitative, probabilistic approach to monitoring and enforcing policies
  • Stewardship Center allows business users, data stewards, and IT teams to collaboratively improve master data quality by resolving data quality tasks and creating master data in compliance with corporate governance policies.
  • MDM Application Toolkit delivers business value rapidly with governance applications through pre-built blueprints and widgets for embedding within existing applications
  • Common matching and search engine employs advanced statistical techniques to automatically resolve and manage data quality issues via probabilistic or deterministic options
  • Cloud deployment allows you to master data with the flexibility of cloud deployment models for speed, agility and better economics for new or test and development environments.
InfoSphere Master Data Management
InfoSphere QualityStage

InfoSphere QualityStage

IBM InfoSphere QualityStage is a foundational component for your data quality and information governance initiatives. It helps you create and maintain consistent views of key entities including customers, vendors, locations and products. This lets you investigate, cleanse and manage your data.

Use InfoSphere QualityStage to deliver quality data for your big data, business intelligence, data warehousing, application migration and master data management projects.

  • High quality data about core business entities – provides capabilities including data profiling, standardization, probabilistic matching and data enrichment.
  • Data quality within a unified platform – delivers data quality functions as part of a complete information integration platform.
  • Support for information governance – enables cross-organization data quality and capabilities necessary for your information governance policies.



IBM Master Data Management on Cloud Managed


Integrated Machine Learning in IBM DataStage Flow Designer


Gaining Deeper Understanding of Data


Improving Customer Service with Analytics


360-Degree Information Driven Insights


Reaching Audiences with the Right Message


Increasing Quality for the Patient Care


Data Integration Enables Superior Customer Service

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