 It can scale up to exabytes so really large amounts of data which is good you can upgrade your systems while it's running so no more forklift upgrades and then of course you want a seamless experience on on-premise storage and to your public cloud or private cloud and now with the latest versions it's running on Kubernetes project will soon also be running on an output shift from Red Hat which supports multiple public clouds and also your private clouds. So with this new approach of course the big data vendors are losing customers but the good thing is now they can actually focus on analytics software and don't have to focus on the infrastructure anymore. So legacy data analytics situations from a vendor are usually compute and storage stack together so when you need it more compute you actually get more storage except not for free so it makes sense to decouple that if that's an option and Sef can solve all these problems for you