Looker is a Data Discovery platform recently acquired by Google for $2.6 billion. Find out everything you need to know about it.
Looker is a Data Discovery application that allows users to gain insights through data analysis via a web interface. This Business Intelligence platform allows to explore and transform data, but also to create reports and make them accessible to everyone. This allows all employees in the company to collaborate on projects and make better decisions based on the data.
Based on the Cloud, Looker’s platform is composed of two main elements. First of all, the modeling platform allows the user to codify data visualization using a proprietary modeling language: LookML. Secondly, the self-service visualization tool allows end users to access the benefits of data analysis.
What are the benefits?
Compared to other Data Discovery platforms, ETL tools such as Informatica, or Data Vizualization platforms such as Tableau, Looker has many advantages.
First of all, this platform is distinguished by its ease of use. Its interface and code language are intuitive, and knowledge of SQL is not required to perform queries.
Collaborative features are also valuable, with the ability to access the application from any web browser including mobile. Reports and data can also be shared directly by email or exported as text or .csv files.
Also noteworthy is the the particularly flexible character of the LookML language. This easy-to-learn language allows you to create mini applications that add efficiency and performance to data mining. Its syntax simplifies model development and increases the capabilities of SQL. Queries are thus carried out faster and performance is optimized.
Google acquires Looker for $2.6 billion
June 6, 2019, Google announced the acquisition of Looker for $2.6 billion to complement its portfolio of data analysis and business intelligence services for the Google Cloud platform. Users will now be able to take advantage of Looker’s Data Discovery and visualization capabilities.
After recently acquiring Alooma’s ETL tools and Cask Data, Google continues to expand its Big Data offering. The objective of the Mountain View giant is to regain some market share from its competitors Amazon Web Services and Microsoft Azure.
Following this announcement, the CEO of Google Cloud, Thomas Kurian, wanted to clarify certain points. In particular, Google and Looker will continue to support multiple Clouds and data sources.
The two firms consider that that’s what consumers are asking for. Moreover, this multi-cloud strategy is in line with the strategy implemented by Google, whose Anthos service delivers a hybrid environment based on Kubernetes and totally “cloud-agnostic” .
Thomas Kurian also points out that the two companies are joining culturally, and that they already share 350 clients. The acquisition is expected to be completed by the end of 2019..