Birst vs QlikView
Last updated: May 06, 2016
Birst is the only Enterprise BI platform born in the cloud. Find out why more than a thousand businesses rely on Birst for Enterprise BI. Learn to think fast. Enterprise-caliber BI delivers accurate, actionable content in an intuitive, self-service business intelligence environment. It allows users to combine data from different source systems in a single BI platform to get answers to their most pressing business concerns in real time. And, when the questions change, it adapts quickly to the new request.
The QlikView Business Discovery platform delivers true self-service business intelligence that empowers business users and drives innovative decision making. It helps organizations make transformative discoveries that lead to better decisions. QlikView goes beyond what other BI software provides by enabling users to analyze and search their data visualizations, make associations, and uncover insight that other BI tools can't find. What will you discover?
Birst vs QlikView in our news:
2016 - Qlik updates its BI and analytics engine
Qlik, the provider of Business Intelligence and Analytics Platforms, unveiled the new QlikView Enterprise 3.0 release, including improved visual analytics, advanced support for custom analytics apps, embedded BI and developer innovations. Qlik Enterprise 3.0 also includes a new development hub so that users can more easily take full advantage of the Qlik Analytics Platform for web mashups, custom apps, and extensions. It offers a new app integration API, a visualization API for programmatic creation of analytics, and a new integrated developer environment (IDE) plugin for Visual Studio.
2015 - Cloud business intelligence service Birst raises $65M
Birst, a cloud-based business intelligence (BI) platform, has raised another $65 million in funding. The problem that a company Birst is tackling is the fact that businesses are collecting a mass of information electronically that, looked at intelligently, could help them make better strategic decisions. While there have been companies like IBM and others offering business intelligence solutions for some time now, the problem is that many legacy offerings are on-premise and are not able to cope with newer forms of data, let alone use newer algorithms to extract information, or the fact that these days it may be as likely that a person on the business side wants direct access to this information, bypassing heavy lifting from a data analytics team.