Benefits
If you don’t want to rebuild your on-premises data lake in the cloud, lift and shift your data to Google Cloud to unlock cost savings and scale.
Take a resource-intensive data or analytic processing workload and burst it to the cloud to autoscale compute without provisioning new hardware.
Data lake turned into a swamp? A cloud-native data lake on Google Cloud can accelerate your data engineers’ and scientists’ analytics development.
Key features
Provision, autoscale, and govern purpose-built data and analytic open source software clusters such as Apache Spark for easier management in as little as 90 seconds.
Build, train, and deploy analytics faster on a Google data lake with Apache Spark, BigQuery, AI Platform Notebooks, GPUs, and other analytics accelerators.
Google Cloud’s auto-scaling services let you decouple storage from compute to increase query speeds and manage cost at a per-gigabyte level. Use custom machines, idle cluster deletion, and more to see up to 54% lower costs than an on-premises Hadoop deployment.
Ready to get started? Contact us
Customers
Partners
Google is just one piece of the data lake puzzle. Our key partners can help you unlock new capabilities that seamlessly integrate with the rest of your IT investments.
What's new
Tell us what you’re solving for. A Google Cloud expert will help you find the best solution.