Data lake modernization
Benefits
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.
Key features
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.
Cost management
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.
Customers
See how these customers migrated petabytes of data and reduced costs
Partners
Recommended data lake 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.
Related services
See how these Google Cloud products can help modernize your data lake
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