expressor software has announced an update to its enterprise data integration platform, which features enhancements in performance and reusable data mappings. expressor 3.0 is a design, development and deployment platform for supporting various data integration applications, from tactical data migrations to large enterprise data warehouses and strategic, predictive analytics.
The vendor is also making the new release available as three editions: Enterprise, Standard, and Community Edition. expressor Community Edition is a free, downloadable version of the company's data integration platform, designed for individual developers and consultants. It consists of the expressor Studio design environment, which includes an embedded version of expressor's parallel data processing engine.
This is the first time the vendor has released a free community edition, Bob Potter, co-founder and CEO for expressor, tells 5 Minute Briefing. "We expect a wide range of users downloading and using our Community Edition. The only limitation an expressor Studio-only user without a commercial license has is that they cannot access our shared metadata repository, process data using our high-performance partition parallelism capabilities, or remotely deploy their applications on dedicated Windows Server and Linux environments."
The Standard and Enterprise versions of expressor 3.0 are comprised of three components: expressor Studio, the expressor Repository and the expressor Data Processing Engine. expressor Studio is designed to enable developers to connect to standard data sources and targets, map data to common business names and types, and design and run complex data flow applications. expressor Repository is an enterprise semantic metadata repository that collects, stores and manages project management information, reusable data descriptions, application file versioning and performance metrics. expressor Data Processing Engine is a parallel data processing system that runs a deployed data integration application.
With the growth of "Big Data" and heightened competitiveness, many small to medium-size businesses are beginning to adopt analytics. "We see a strong demand in fast growing mid-market companies for all sorts of business intelligence and data warehousing solutions," says Potter. "Most of our customers today are building analytical data warehouses and data marts primarily based on SQL Server and Oracle. Over the past year leading up to expressor 3.0, we have put a lot of effort into making our ETL solution as Microsoft-friendly as possible. We are also seeing more and more data warehouse appliance applications in medium size businesses and departments in larger enterprises."
expressor is also partnering with Teradata around larger data warehouse and data mart consolidation applications, Potter says.
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