DataLakeHouse behind the scenes has an enterprise architecture consisting of a massive compute engine that enables fast processing of data and information. The front-end of the platform allows integration of our customer's data management needs through a secure cloud architecture with frequent support of secure data management features in specific cloud vendor architectures or a multi-cloud vendor strategy for our customers.

In order for DataLakeHouse to connect to our customer's data sources, there is often the need to Whitelist/Grantlist our IP addresses to ensure a connection can be made securely.

DataLakeHouse makes use of GCP and AWS primarily along with our proprietary code base and our open source projects to deliver outstanding features, service, and support.

Updated 04 May 2022
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