expressor software corporation

expressor software tackles the complexity and cost of enterprise IT projects with data integration software that delivers breakthrough development productivity and data processing performance at a significant price/performance advantage. expressor's semantic data integration system has been designed from the ground up based on common business terms that enable collaborative, role-based team development, business rule reuse and end-to-end project lifecycle management. expressor was established in 2007 by experienced data integration and data warehousing practitioners and executives. The company is headquartered in Burlington, MA and is funded by Globespan Capital Partners and Sigma Partners.

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Latest Content From expressor software corporation

Whitepaper: Expressor Studio 3.0 Helps Connect To Data Sources

by expressor software corporationNov 08, 2010

Expressor Studio provides game-changing ease of use with a drag-and-drop and wizard-driven interface that enables developers to easily connect to standard data sources and targets, map data to common business names and types, and design and run complex data flow applications in minutes. It extends its unique semantic integration capabilities with Semantic Types--a powerful new approach to data mapping and transformation that greatly reduces time-to-deployment. Expressor Studio beta is available immediately as a free download.

Whitepaper: Expressor Supercharges ETL

by expressor software corporationNov 10, 2009

You�re a satisfied Microsoft developer, but the increasing complexity of your data integration needs is expanding beyond the limits of Microsoft SQL Server Integration Services (SSIS). You have to write too much complex code to transform your data. Some of your applications are not fast enough. You�re having trouble integrating diverse data sources. You�re aware of and may have even looked at other ETL/DI solutions, so you know that they would offer additional functionality but would cost you a lot more -� especially in training and application maintenance. They may also cause too much change to your current IT infrastructure.

Whitepaper: Expressor Targets DI Trouble Spots

by expressor software corporationOct 01, 2009

For too long, ETL vendors have justified complex and expensive solutions by pointing out that data integration (DI) is a tough task. In fact, many of you have brought in new DI tools and thought about replacing existing tools out of frustration, but shelved those plans when you realized that most other products shared many of the same shortcomings and were equally expensive. Now you have an alternative. As DI practitioners, Expressor says it has created the next-generation Expressor semantic data integration system to address many critical pain points caused by traditional DI products.

Whitepaper: Data integration: Total Cost Of Ownership Really Matters

by expressor software corporationJul 01, 2008

Data Integration (DI) is expensive and difficult � that�s how business views it today. But does it need to be? This paper examines the promise of the current data integration tools and assesses how well that promise has been fulfilled. Against this background the gaps, opportunities, and challenges are identified. Also included are key requirements for the future, the new data integration tools becoming available, and how these are better able to meet the requirement for lower total cost of ownership (TCO) of today�s more agile and faster-moving businesses. The paper features 10 tips for selecting the next DI tool.

Whitepaper: Semantic Discord and Data (Dis)Integration

by expressor software corporationFeb 28, 2008

As business requirements continue to accelerate, the ability of existing data integration technologies to solve those requirements lags appreciably behind. In an effort to address this issue, vendors have been frantically retooling their platforms and/or buying "complementary technologies" to help them stay afloat. Unfortunately, these incremental improvements and bolt-on solutions have not been successful in resolving the core problem. What is needed is a fundamental shift in the way that data integration projects are approached. This paper lays out the nuts and bolts of the problem and the subsequent groundwork for defining the solution.