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May 25, 2015 2:52 AM ET

Software

Company Overview of JackBe Corporation

Company Overview

As of August 22, 2013, JackBe Corporation was acquired by Software AG. JackBe Corporation develops enterprise software solutions. The company offers Presto, a real-time business intelligence solution that enables organizations to connect directly to live authoritative data sources and deliver the information in enterprise applications. It serves manufacturing, financial services, healthcare, information publishing, government, and other industries around the world. JackBe Corporation was founded in 2001 and is headquartered in Chevy Chase, Maryland with additional offices in Mexico City, Mexico; and Fremont, California.

4600 North Park Avenue

Suite G1N

Chevy Chase, MD 20815

United States

Founded in 2001

Phone:

240-744-7620

Fax:

301-656-5029

Key Executives for JackBe Corporation

JackBe Corporation does not have any Key Executives recorded.

JackBe Corporation Key Developments

JackBe Presto Makes SharePoint Real-Time for the Enterprise

JackBe has released the version of its Presto Add-On for SharePoint, which includes direct connections to real-time enterprise data and integrated FAST Search. The solution allows power users to easily assemble real-time intelligence using the familiar SharePoint Designer, converting any live enterprise system including those external to Microsoft products, such as ERP, CRM and social media into SharePoint data sources to power real-time dashboards. Presto Add-On for SharePoint enables users to query Presto-connected data within SharePoint, using SharePoint Search. In addition, the solution's new 'FAST Enterprise Search' Wires block provides a simple drag-and-drop search experience using FAST, SharePoint's popular enterprise search capability. Powered by Wires, Presto's 'point-click-mash' visual assembly tool, Presto Add-On for SharePoint enables mashing of multiple FAST search results with support for keyword and FAST Query Language queries. This allows users to easily combine data from multiple sources, lists and queries into single, meaningful data visualizations. In addition to the FAST Search block, the Presto Add-On for SharePoint adds even more new Wires blocks, which include: sharePoint List Add Item: Critical to Presto is the ability not only to read from data sources but also to write back to them. This new sharePoint List Add Item block provides a way to add new data rows to any SharePoint List. SharePoint List: Supports advanced filtering of list items using Collaborative Application Markup Language (CAML) queries by advanced users; SharePoint List Merge: resolves List ID conflicts intelligently when combining SharePoint lists, including task lists; SharePoint Search: Queries SharePoint lists in Wires to retrieve only the content relevant to the mashup, instead of the entire data set. External Content Adapter: Makes any mashup Business Connectivity Services (BCS) compatible.

Jackbe Unveils Presto Real-Time Analytics Add-On with Terracotta BigMemory (RTA Add-On)

JackBe(R) released its Presto Real-Time Analytics Add-On With Terracotta BigMemory (RTA Add-On), which bundles Terracotta's enterprise-grade BigMemory in-memory data management platform for performance in-memory analytics. This supercharged combination of in-memory and analytics allows Presto to mash Big Data with live and transactional enterprise data into actionable dashboards in a fraction of the time required by traditional methods, putting real-time Big Data analytics at the fingertips of decision-makers. Presto RTA Add-On gives business users the ability to analyze larger data sets and run real-time analytics for immediate insight. The Presto Real-Time Analytics Add-On With BigMemory includes: Seamless integration with the JackBe Presto mashup engine and interactive visualizations; Easy-to-use SQL-like query language called Real-time Analytics Query Language; Pluggable analytics functionality for Java developers to include machine learning, descriptive statistics, and R using intuitive APIs; BigMemory bundled with the ability to scale to terabytes of in-memory analytics.

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