Home > Product Overview > Ipedo XIP > Ipedo XIP Specs
Feature Benefit
Performance
Cost-based Query Optimization Perform remote source optimization to determine affinity, lowest-cost join ordering, and join algorithms; apply heuristics when cost-based optimization information is unavailable; query plan is available for viewing
Statistical Analysis Collect and analyze data from the system catalogs of relational databases to provide information for cost-based query optimization
Data Streaming Deliver information to applications immediately using cursors rather than waiting for the entire result set to become available
Data Span
Dual-Core Query Engine (SQL and XQuery) Evaluate and optimize queries across relational and non-relational sources to provide rapid access to disparate information sources quickly and efficiently
Relational and XML Views Perform real-time analysis and filtering on data from relational databases (Oracle, DB2, SQL Server, Teradata, Sybase, MySQL), Web Services, CSV files, enterprise applications (SAP, Siebel, PeopleSoft, Oracle), file systems, or collections of documents, and view the results in a single application
Feeds Examine data from external processes such as JMS-based message queues, broadening the scope of information that developers can use in their applications
Inbound Pipelines Execute complex, multi-step processing, via XSL and XQuery combinations, that results in a highly flexible approach to validating data from diverse sources
Graphical Modeling Integrate data across disparate data sources using intuitive modeling tools, without coding
Deployment
Distributed Server Support Share Views and associated metadata across distributed instances of Ipedo
Data Throttling Control loads on systems and networks by using bandwidth and connection limits and query quotas
Scripting Streamline data processing and server configuration by assembling commands into a reusable script
Metadata Management Maintain and track information on back-end databases and mappings between data sources
Reporting Framework Deliver integrated data to business intelligence and enterprise reporting tools through standard ODBC/JDBC interfaces
Caching
Intelligent Policy-Based Caching Speed access to information and reduce load on back-end systems by storing frequently used results natively in either relational or XML format; Scheduled, manual, or event-driven refresh
XML Store Maintain a searchable XML repository for unstructured data to complement built-in caching and relational data storage
Schema Management Manage transformations between different schemas or versions, and map non-XML data to specific schemas
Security
Granular View Security Apply an additional level of security at the view level to precisely control who has access to information
Comprehensive Data Security Maintain security on back end data sources using SSL for secure connections and by applying granular access control to Ipedo Views
Authorization and Authentication Integrate with existing access control lists, LDAP directories, and single sign-on systems
 
Data Sources
Relational: Apache Derby, IBM DB2, Informix, Microsoft Access, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, Sybase, Teradata, or any JDBC- or ODBC-compliant database
Enterprise Applications: Oracle, PeopleSoft, Salesforce.com, SAP, Siebel
Web Services (SOAP, REST)
Other: XML, CSV, Excel, LDAP, HTML, UDDI, Message Queues

Standards
SQL 92, JDBC, ODBC, XML Schema, XPath, XQuery, XSL, XMI, SOAP, WSDL, WS-I, JAAS, JSSE, JMX

Development Environments
J2EE, .NET or Web Services
Intuitive GUIs allow non-programmers to integrate data, build queries, and develop applications

System Requirements
Platform: Windows 2000/2003 or XP, AIX 5.2 or higher, Solaris 8, 9 or 10, Red Hat Linux 8.0 or higher
Application Server: Apache Tomcat (included), IBM WebSphere, BEA WebLogic, JBoss, Oracle, Sun
Memory: 512 MB RAM minimum
Disk Space: 200 MB disk space minimum
Java 2 Software Development Kit (Java 2 SDK) version 1.4.2 or higher


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