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Azure Data Lake Storage at a glance
April 06, 2022

Azure Data Lake Storage at a glance

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Azure Data Lake Storage

We use Azure Data Lake Storage as a repository for our larger data analytics. Azure Data Lake has enabled us to capture data of various sizes (from small to large) and types, relatively fast for us to do our analytics. It integrated without issue into our existing data warehouses. Was able to set it up with minimal help.
  • File Storage
  • Highly Scalable
  • Cross Platform Support
  • Secure
  • Not as flexible as a data warehouse.
  • Not as optimized for queries as a data warehouse.
  • Could use more documentation.
  • Lower Costs
  • Greater Accessibility
  • Volume and Variety of data inputs
  • Reduced Costs
  • Negatively there was a slight learning curve. Not bad but it is there.
  • Data source diversity
I am much more familiar with Snowflake. I thought it was fairly straightforward to use and did not have to learn much syntax. With Azure Data Lake Storage, I have had to learn some new syntax and thought there was a steeper learning curve. We selected it because of cost savings.

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

Snowflake, Qlik Sense, Jira Service Management (Jira Service Desk)
While I did not think it was the most difficult to deploy, I did feel that there were some steps that took time when migrating from our data warehouse to data lakes. More documentation would have been helpful but I expect this to improve as the user base grows. I find that I need to be more careful in writing my queries for optimization when using a data lake. Can be a little more cavalier in a warehouse.