Azure Data Lake Store has been solid for handling high-volume data in our pipeline. We use it frequently for storing raw and processed data across different projects, and it scales well as our data grows. Integration with Azure Data Factory and Databricks makes implementation smoother and ease compared to setting things up from scratch. I also appreciate the access control flexibility through RBAC and ACLs. Review collected by and hosted on G2.com.

Setting it up initially took some time, especially figuring out the permission structure and understanding the pricing breakdown. It wasn’t the most intuitive process. Customer support is responsive, but sometimes it takes a few back-and-forths to get to the root of a more technical issue. Also, during high-frequency usage, there have been rare moments of latency, especially when querying large files directly. Review collected by and hosted on G2.com.

It is our data storage layer. Where we store delta tables and parquet files images etc Review collected by and hosted on G2.com.

It's a bit of pain to get it setup unlike lakehousese in Microsoft fabric Review collected by and hosted on G2.com.

The hierarchal namespace is a game changer for me. It makes your data retrieval, processing very fast. Another good point is easy integration with other Azure and non-Azure product. Review collected by and hosted on G2.com.

I would not say a dislike but on Azure data lame store you cannot see the size of a folder and cannot download the whole folder which makes is difficult sometimes to download complete folder. Although you can achieve this by using storage explorer. Review collected by and hosted on G2.com.

it is scalable, ease to use and implement,its cost efficient and easy to integrate with multiple soultion, it comes handy for use in case of processng data, Review collected by and hosted on G2.com.

limited support for certain features, outdated document, some users faces inosistance Review collected by and hosted on G2.com.

Azure Data Lake Store integrates well with other Azure services like Azure Data Factory, Azure Databricks, and Azure HDInsight. This integration enables you to build end-to-end data analytics solutions using a combination of these services. Review collected by and hosted on G2.com.

Setting up and configuring Azure Data Lake Store can be complex, especially for users who are new to Azure or cloud-based storage services. It requires understanding various concepts like Azure Active Directory, access control, and data partitioning, which may have a steep learning curve for some users. Review collected by and hosted on G2.com.

It can store data of any size, type and format in a single location for easy access and analysis.

It is optimized for big data analytics workload and supports various framework, such as Hadoop, Spark, Hive etc.

It is cost effective and offers pay as you go pricing model.

It integrates well with other Azure services Review collected by and hosted on G2.com.

Even though It is very much helpful service from Azure, It also comes with some issues, which I dislikes. They are below

It is little difficult to assign and maintain user permission and access control.

It has limited integration with some services and APIs.

It can be challenging to ensure data quality and governance. Review collected by and hosted on G2.com.

The scalability of Azure Data Lake is impressive. It effortlessly handles large volumes of structured and unstructured data allowing me to store and analyze vast amount of information without any limitation. Review collected by and hosted on G2.com.

Due to its extensive capabilities and features getting familiar with all aspects of Azure Data Lake is taking some time. The platform could host some tutorials for the user's ease. Review collected by and hosted on G2.com.

Azure's Data Lake store is cheap, reliable, and easy to use and maintain. Being backed by Microsoft's infrastructure, I find it safe to store and maintain my business data on Azure Data Lake Review collected by and hosted on G2.com.

I don't see any issues with Azure Data Lake. It is designed very well and that is why it is one of the most used Azure Service across the globe. Review collected by and hosted on G2.com.

Easy to access, and provide analytics support and hirererica namespace Review collected by and hosted on G2.com.

As a storage service i dont think there is any things to dislike Review collected by and hosted on G2.com.

Scalable storage for big data analytics workloads. It offers unlimited storage capacity, allowing you to store and process large datasets efficiently. Review collected by and hosted on G2.com.

Cost, complexity, Data management and not Compatible with all analytics tools and frameworks Review collected by and hosted on G2.com.