Looker for Google Cloud Platform
Looker for Google Cloud Platform allows anyone in your business to quickly analyze and find insights in your datasets. Looker makes it easy to build a data exploration platform that makes your data accessible in a meaningful, intuitive way for your entire organization.
Looker for Google BigQuery
Looker and BigQuery are an ideal solution for any company that wants fast access to every petabyte of their data. BigQuery is a lighting fast, scalable, affordable solution. Looker is the only tool that allows you to take full advantage of it, leveraging BigQuery’s power by running directly in the database. Looker makes it easy to build a data exploration platform on BigQuery to make data meaningful and intuitive for your entire organization. Take advantage of BigQuery’s unique features, including querying 250 Gb in under 5 seconds.
Looker for Google Cloud Spanner
Cloud Spanner is Google’s globally distributed transactional database that combines horizontal scalability, high availability, and performance with a relational schema and SQL access. Looker connects to Spanner directly, enabling users to query data in Spanner as transactions roll in. No need to create read or slave replicas; just query the data directly in Spanner and derive powerful insights through Looker, without impacting production workloads.
Looker for Google Cloud SQL
Google Cloud SQL is a fully-managed MySQL and/or Postgres database service built on the strength and reliability of Google’s infrastructure. Looker’s unique in-database architecture connects directly to Cloud SQL, allowing customers to build a data platform to expose deep insights from transactional and operational data within minutes.
Looker for Google Cloud Dataproc
Google Cloud Dataproc is a fully-managed service that lets you run Spark and Hadoop on the Google Cloud Platform. Looker works alongside Google Cloud Dataproc and makes it easy for data analysts to quickly build a data model to access, describe, and analyze all their data in Cloud Dataproc. Transforming petabytes of raw data into meaningful metrics lets business teams ask and answer their own questions without bogging down your data analysts.
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