Birst vs Looker

Last updated: October 11, 2022

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Birst
Infor 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.
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Looker
Looker is a business intelligence software and big data analytics platform that helps you explore, analyze and share real-time business analytics easily.
Birst vs Looker in our news:

2022. Google unifies its BI services under the Looker brand



Google Cloud today announced that it is unifying all of its business intelligence products under the Looker brand. It brings together Looker, Data Studio, and core Google technologies like artificial intelligence (AI) and machine learning (ML). This combination, Google argues, will allow users to go beyond traditional dashboards - the kind Google Data Studio specializes in - and allow businesses to bring this data into more of their workflows and applications to make data-driven decisions. As part of this move, Google Data Studio will now become Looker Studio. Looker was a startup that Google acquired in 2020 for $2.6 billion. So, from now Google officially competes with Tableau, Microsoft Power BI and QlikView.


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.