Azure Data Lake Storage Gen2 is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help you speed your time to insight. Data Lake Storage Gen2 extends Azure Blob Storage capabilities and is optimized for analytics workloads.
N/A
NetApp FAS Storage Arrays
Score 9.5 out of 10
N/A
NetApp's FAS series systems offers a storage array system for enterprises.
Azure Data Lake is an absolutely essential piece of a modern data and analytics platform. Over the past 2 years, our usage of Azure Data Lake as a reporting source has continued to grow and far exceeds more traditional sources like MS SQL, Oracle, etc.
It is very easy to use with NFS. Creating new volumes and mounting to servers such as ESXi or Linux is a breeze. It does also support CIFS but it is far less intuitive and requires much more effort. Replicated data is also very simple and robust in the form of SnapVaults or SnapMirrors. This data is either immediately or periodically replicated to a peer FAS in the cluster for retention.
It just works! We've used NetApp FAS Storage Arrays systems since 2011 and have had fantastic results, in particular since 2016 as performance has drastically improved. Tools are great/user friendly, command line capabilities are very strong ... it is simply very effective at what it does!
It does have a really nice and easy to use web interface to do pretty much anything you need with it. It was very simple to configure our volumes and luns and connect them to our VMWare environment using the interface. It has options to rename, shrink, grow, and other things with our luns and volumes. It was nice and easy to read graphs to see where you stand on your storage usage at a glance.
NetApp support in Brazil is managed by its partners. We know in other countries, such as the US and NO, they have support directly from Netapp. We have a very good NetApp partner working with us since the beginning, on both the implementation and daily support. Very few cases needed to be escalated to NetApp support, most of the cases are handled and satisfyingly closed by the partner.
Our initial deployment was handled by pro services. Most later deployments were handled in-house. All went very smoothly. Documentation made it relatively easy to set up new systems which allowed us to do it in-house. When using pro services they were professional and comprehensive.
Azure Data Lake Storage from a functionality perspective is a much easier solution to work with. It's implementation from Amazon EMR went smooth, and continued usage is definitely better. However, Amazon EMR was significantly cheaper overall between the high transaction fees and cost of storage due to growth. The two both have their advantages and disadvantages, but the functionality of Azure Data Lake Storage outweighed it's cost
NetApp stacked nicely and gave enterprise-level usability for snapshot-based backups. Our previous RPO was several hours. It was selected prior to me arriving at the company, but It was selected for the hardware refreshes due to its compatibility with several other vendors, like CommVault and VMware.
Instead of having separate pools of storage for data we are now operating on a single layer platform which has cut down on time spent on maintaining those separate pools.
We have had more of an ROI with the scalability as we are able to control costs of storage when need be.
We are able to operate in a more streamlined approach as we are able to stay within the Azure suite of products and integrate seamlessly with the rest of the applications in our cloud-based infrastructure
