TrustRadius Insights for Azure Data Lake Storage are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Ease of Setup: Users have found setting up Azure Data Lake Storage account and container to be quite easy, allowing for access from anywhere and easy maintenance. The straightforward setup process has been highlighted as a key advantage by many reviewers.
Integration with Other Services: Reviewers appreciate the seamless integration with Azure Data Factory service for end-to-end pipelines, noting it as pretty user-friendly. This integration provides users with a smooth experience in creating and managing data workflows across services.
Scalability and Performance: Many users praise the scalability of Azure Data Lake Storage, noting its ability to scale endlessly based on requirements while providing significant performance and security measures. The tool's robust scalability options ensure that users can efficiently manage varying workloads without compromising performance or security.
We need to store large amount of data that flow daily from our processes as well from external APIs, and we need to keep them for long period of times to perform historical analysis for our clients. Azure Data Lake Storage helps us achieve this goal by providing a secure, fast and large data store for our needs.
Pros
Store large amount of data
Access this data quickly using Synapse Analytics or Spark/Databricks
Ingest data quickly so our ingestion APIs are never throttled
Cons
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.
Likelihood to Recommend
You should use Azure Data Lake Storage if you need to store large amount of data for analytical purposes, especially if combined with analytical solutions that support its API, like Azure Databricks or Azure Synapse Analytics. You should not use it for transactional workload, of course.
Microsoft Azure Data Lake Storage is the best among all available Hadoop data Software in the market. It has the best end-to-end security for our data. It is used by our company to analyze our large data. It is highly cost-efficient and also highly scalable with gives us a visualization of our dataset and makes it easy to understand the data properly.
Pros
Data Visualization
Highly Encrypted
Cost Efficient
Cons
UI Design is quite complex to understand.
All Features are not up to date.
Analyzing large data sometimes makes its slow.
Likelihood to Recommend
We have used Azure Data Lake Storage to analyze our large dataset to understand and visualize it thoroughly. It is highly encrypted and is highly scalable. It helps us to organize our data well and distribute it basis on its size.
VU
Verified User
Consultant in Engineering (Computer Software company, 10,001+ employees)