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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 comparison ibm oracle data warehouse


Oracle Reports Strong Profits
On December 14, Oracle Corporation announced record second quarter results for the period ended November 30, 1999. For the quarter, net income increased 40% to

comparison ibm oracle data warehouse  Reports Strong Profits Event Summary Oracle Corp.'s second-quarter earnings rose 40 percent, exceeding even the most optimistic predictions made by the company's top executives last month. With old-line companies largely done fixing Y2K problems, sales are picking up for Oracle's flagship database and applications software, the company said. In addition, fast-growing Internet companies are buying Oracle software to help them manage vast amounts of data (See TEC News Analysis article: IBM and

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Discrete Manufacturing (ERP)

The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as order processing and production scheduling. ERP began as a term used to describe a sophisticated and integrated software system used for manufacturing. In its simplest sense, ERP systems create interactive environments designed to help companies manage and analyze the business processes associated with manufacturing goods, such as inventory control, order taking, accounting, and much more. Although this basic definition still holds true for ERP systems, today its definition is expanding. Today’s leading ERP systems group all traditional company management functions (finance, sales, manufacturing, and human resources). Many systems include, with varying degrees of acceptance and skill, solutions that were formerly considered peripheral such as product data management (PDM), warehouse management, manufacturing execution system (MES), and reporting. During the last few years the functional perimeter of ERP systems began an expansion into its adjacent markets, such as supply chain management (SCM), customer relationship management (CRM), business intelligence/data warehousing, and e-business, the focus of this knowledge base is mainly on the traditional ERP realms of finance, materials planning, and human resources. The foundation of any ERP implementation must be a proper exercise of aligning customers'' IT technology with their business strategies, and subsequent software selection. 

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Comparison of ERP and CRM Markets' Life cycle Snapshots


Today's enterprise applications are required as a matter of course to address more than the processes taking place within the walls of an enterprise. Almost all traditional ERP vendors (small and big alike) had to experience a wake-up call and have long been trying to expand their product offering in tune with the ever-changing trends and requirements of the new collaborative economy. The need for providing a full, comprehensive CRM suite rather than an individual solution or a bundle of point solutions for each distinct CRM area remains firm, and will urge further market consolidation.

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Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools


Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization, enterprise information integration, and corporate performance management are among the proposed solutions, but do they really deliver real time information?

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Oracle Applications - An Internet-Reinvented Feisty Challenger


It is startling how much has changed in Oracle’s applications business during the last two years. Oracle is indisputably the most reformed applications vendor, having achieved significant growth in total revenue, license revenue and net income. Oracle has a head start on most of its competition pertaining to Internet applications, and the Company still leads the ERP pack both on product technology vision and execution. However, the future will by no means be without serious challenges.

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Now the Minnows are Eating the Minnows


In a transaction valued at approximately $15 million, DataMirror Corporation has announced that it has completed the acquisition of assets and assumption of certain liabilities of Constellar Corporation. Both companies have been small niche players in the data warehousing market, Constellar being almost exclusively Oracle-based, and DataMirror concentrating on the IBM AS/400. The goals appear to be increased access to capital for Constellar, and a foothold in the Oracle market for DataMirror.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


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All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

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Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


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