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Azure Data Lake works for us, and might work great for you too!
April 07, 2022

Azure Data Lake works for us, and might work great for you too!

Steve Lollar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Azure Data Lake Storage

Azure Data Lake is being utilized in a number of ways for our company, most of all tracking employee meal plans, and other analytical sales data. This is the best solution for our use case, and has worked extremely well. We love that it also integrates with Power BI, which our sales team and marketing folks use heavily.
  • Affordable and cost effective for small-medium sized businesses.
  • Regulatory Compliance Metrics
  • Deployment that's not complicated
  • U-SQL is somewhat complex to understand
  • You cannot use blob APIs, NFS 3.0, and Data Lake Storage APIs to write to the same instance of a file.
  • The WASB driver experiences issues all the time
  • Unlimited Data Size
  • Fault-Tolerant and Available
  • Optimized for High-Speed Throughput
  • True HDFS Compatibility
  • Better sales metrics and data for accounting to review
  • Improved storage capacity
  • Security and compliance features are incomparable compared to similar solutions
AWS charges you on an hourly basis but Azure has a pricing model of per minute charge. In terms of short term subscriptions, Azure has more flexibility but it is more expensive. Azure has a much better hybrid cloud support in comparison with AWS. AWS provides direct connections whereas Azure express provides routing.

Do you think Azure Data Lake Storage delivers good value for the price?

Yes

Are you happy with Azure Data Lake Storage's feature set?

Yes

Did Azure Data Lake Storage live up to sales and marketing promises?

Yes

Did implementation of Azure Data Lake Storage go as expected?

Yes

Would you buy Azure Data Lake Storage again?

Yes

ADL is great for structured and unstructured data backups: files, folders, disks, VMs, and databases. It does this better than any platform we ever vetted, and Microsoft is the industry standard typically.

It may not be feasible or cost effective if you don't have that much data to implement, or if you're a smaller organization with two or less VMs/production servers.