Data lake modernization
Make the most of your data lake
Re-host your data lake
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.
Burst a data lake workload
Take a resource-intensive data or analytic processing workload and burst it to the cloud to autoscale compute without provisioning new hardware.
Build a cloud-native data lake
Data lake turned into a swamp? A cloud-native data lake on Google Cloud can accelerate your data engineers’ and scientists’ analytics development.
Migrate Apache Spark and Hadoop based data lakes to Google Cloud
Fully managed services
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.
Integrated data science and analytics
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.
See how these customers migrated petabytes of data and reduced costs
See how these Google Cloud products can help modernize your data lake