A True Hybrid Platform that Lets You
Migrate on Your Terms
Avalanche is a hybrid cloud data platform that can be deployed on any cloud, including AWS, Microsoft Azure, and Google Cloud – on-premises, and in hybrid and multi-cloud environments. The highly scalable platform helps you incrementally migrate or offload from your existing enterprise data warehouse until it can be retired in a managable fashion – according to your timeframe and your terms. Choose the path that is the best for you – cloud, on-premises, or a combination of both, with a seamlessly architected hybrid solution.
Gain 10-20X
performance improvement at enterprise scale
Avalanche is designed for enterprise-class workloads with high levels of concurrency and query complexity. It delivers up to a 20X performance advantage over legacy data warehouse solutions–at a fraction of the cost. It is uniquely able to perform analytical queries even as the data warehouse is being updated–without adding any latency. Say good-bye to nightly batch loads.
Reduce OpEx by
50% and get rid of CapEx altogether
Because Avalanche runs on commodity hardware, its cost profile is significantly lower than that of legacy data warehouses. Avalanche typically reduces operating expense costs (e.g. appliance annual maintenance) by 50% and removes capital expense altogether. You canalso take advantage of cloud economics – turn off compute resources when you choose to and pay only for what you use.
Minimize migration risk with a highly automated, non-disruptive move to Data Integr8
Migrations of terabytes of data, thousands of tables and views, specialized code and data types, and other proprietary impediments doesn’t happen overnight.
The Data Integr8 migration service ensures that more than 90% of any custom code written for legacy data warehouses is migrated automatically. We migrate the rest manually by leveraging our trusted partners — making this a risk-free and worry-free exercise for you. Data Integr8 also delivers full interoperability with your existing back-end applications, enterprise data repositories, and new data sources.