Fast and scalable solution for all industries that deal with data processing. Review collected by and hosted on G2.com.
Learning curve and professional services were the only reason why we got up and running quickly Review collected by and hosted on G2.com.
Loved the ability to process massive parallel data transformation and support for multiple processing languages viz. U-SQL, R, Phython etc. Review collected by and hosted on G2.com.
Debugging in a multi cloud distributed environment is bit time consuming, looking forward for more simplified process in future releases Review collected by and hosted on G2.com.
Simplicity, easy interface, built into the Microsoft platform and great for teams that work with Azure today. Review collected by and hosted on G2.com.
I do not have any negative feedback on this platform. Review collected by and hosted on G2.com.
An easy way to store big data for future analysis. Secure and compliant. Consolidating your big data into one place. Review collected by and hosted on G2.com.
Requires Platform Expertise and Management Review collected by and hosted on G2.com.
Azure data lake is one of best tool for bigdata processing and most importantly it works only for batch workloads that makes it simple. However storage of relational database and NoSQL are provided complimentarily. Review collected by and hosted on G2.com.
Lack of streaming option and event processing workloads. however some addons can be associated with azure data lake such as azure data bricks or HDInsight which can help in streaming and event processing workloads. Review collected by and hosted on G2.com.
Azure data lake analytics services very useful while processing large amounts of data. Its also giving awesome security with Azure AD. Review collected by and hosted on G2.com.
A little bit confusing to the user who coming from the MSBI background. Many developers turned into azure platform from the other area of technology, They need some kind of easy ness to use this tool. Review collected by and hosted on G2.com.
USQL is very easy to learn and has features of query language as well as programming language. By using ADLA, TBs of data can be easily analyzed in a very short period of time. Monitoring and alerting is very helpful in ADLA. Gives very good out of the box features. Review collected by and hosted on G2.com.
ADLA can have a web-based development IDE also like Azure Data Factory. Review collected by and hosted on G2.com.
Procedure enormous information occupations in seconds with Azure Data Lake Analytics. There is no foundation to stress over on the grounds that there are no servers, virtual machines or bunches to hang tight for, oversee or tune. In a flash scale the handling power, estimated in Azure Data Lake Analytics Units (AU), from one to thousands for each activity. You just compensation for the preparation which you use per work. - Massively versatile, secure information lake usefulness based on Azure Blob Storage - Develop hugely equal projects with straightforwardness - Debug and enhance your huge information programs effortlessly Review collected by and hosted on G2.com.
Low efficiency in managing and monitoring of the data pipeline Review collected by and hosted on G2.com.
I like the storage they provide for big data. Performance is very good. it is very good for big data analytics. Navigation is similar and familiar like any other tools. Review collected by and hosted on G2.com.
I think they could have made it more simple. Review collected by and hosted on G2.com.
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