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.
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StorageGRID
Score 5.0 out of 10
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NetApp's StorageGRID is open S3 object store to manage your unstructured data at scale.
Azure Data Lake storage is well suited for applications/use cases within organizations where capturing and storing large amounts of data in any format is required, primarily for storing and processing purposes. It's an easy and cost-effective cloud solution for your application data. The ability to integrate with other Azure Services like Azure Databricks and Azure Data Factory is superb.
The NetApp StorageGRID solution fits in perfectly with what our company was trying to accomplish. Our goal was to free up our expensive storage flash (SSD) capacity for our critical applications to allow for growth and added performance capabilities. I do not believe this solution would be greatly suited for those without a Cloud solution or secondary site/system to tier data.
Azure Data Lake Storage is extremely scalable. It allows us to scale up or down endlessly based on what we need including replication.
In terms of security, Azure Data Lake Storage fits our requirements really well as we can monitor and encrypt seamlessly. We can also assign permissions through roles and grant network-level access.
Due to the fact that it can scale, we are able to monitor the cost of storage and any given time and make financial decisions about our infrastructure based on how small or big we want to scale.
I'd like to see a better cross-platform native client. Azure Data Explorer is fine, but it's far from the "SSMS" kind of experience SQL Server users are used to.
Listing a large number of file is somewhat problematic and slow. Using the native C# library, running directly on an Azure VM, it can take several hours to list just a couple million files.
Switching from V1 to V2 requires the creation of a new Storage Account and that's pretty inconvenient.
NetApp Support was able to quickly resolve a networking issue during the deployment of the NetApp StorageGRID system, which we, unfortunately, could not figure out on our own. Not only did Support engage quickly, but they also provided guidance on how to properly troubleshoot various issues such as the one we encountered and also provided excellent documentation.
The Azure Data Lake solution is designed for organizations that want to take advantage of big data. It provides a data platform that can help developers, data scientists, and analysts store data of any size and format and perform all types of processing and analytics across multiple platforms and programming languages. It can work with your existing solutions, such as identity management and security solutions. It also integrates with other data warehouses and cloud environments. It can be useful for organizations that need the above softwares.
We chose NetApp StorageGRID because we were not looking for a true backup solution but wanted the features to included a DR centric ideology. The IBM Cloud Backup solution was purely backup focused and did not fit the requirements for our needs. NetApp StorageGRID checked all of our boxes in regards to cost, use case, and ease of manageability.
The cost can be high for more advanced work. In some cases, for instance, time limits and lab runtimes may be too short if you are too slow to learn what is explained as you go along.
promote flexible team communication. You can create different spaces for different teams, and share files and tasks.
