Azure Data Lake Storage Gen2 is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help you speed your time to insight. Data Lake Storage Gen2 extends Azure Blob Storage capabilities and is optimized for analytics workloads.
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Microsoft Sentinel
Score 8.6 out of 10
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Microsoft Sentinel (formerly Azure Sentinel) is designed as a birds-eye view across the enterprise. It is presented as a security information and event management (SIEM) solution for proactive threat detection, investigation, and response.
Azure Data Lake is an absolutely essential piece of a modern data and analytics platform. Over the past 2 years, our usage of Azure Data Lake as a reporting source has continued to grow and far exceeds more traditional sources like MS SQL, Oracle, etc.
It's certainly well-suited in environments that rely heavily on Microsoft products, and it's well-suited for environments where you have other business drivers to go to the E5 license. If I were to say where I would not and why, I only gave it a seven on the recommendation, that answer would probably vary if you already owned E5 or not. It's extremely expensive. And if there are other alternatives, if you don't have any other driving reason to go to E5, I would coach you not to go to Microsoft Sentinel. But if you're there, it's a fantastic property. It's certainly part of the cost argument for moving to E5, but it's only a part. It can't by itself justify the move to E5.
It's the scale. Having built-in detections and vulnerabilities and the ability to see into the traffic flows is absolutely key. Look at it from my perspective as network security. We want to see what's going on east, west, between all the kinds of subscriptions and the tenants. We don't have that. We don't have that with any other product. Microsoft Sentinel gives us that kind of visibility.
An area for improvement is how case management is surfaced within the Microsoft Sentinel experience, as clearer integration into Sentinel workflows would reduce context switching and improve incident handling.
There is an opportunity to further expand agentic, autonomous investigation and response capabilities.
Because, as I said, it still lacks a lot of things, like many playbooks outside the Copilot integrations and the actual remediation. For example, for Microsoft Sentinel and SAP, I would want to see Copilot doing a lot of remediations in Microsoft Sentinel at SAPN, like executing the transaction code, maybe creating certain increases, or remediating stuff like that, which is all customized.
Microsoft support is one of the highest rated on the market. It has global and multilingual support. Calls can be made over the phone and the solution is virtually instantaneous with the help of Microsoft engineers. It's great!
Azure Data Lake Storage from a functionality perspective is a much easier solution to work with. It's implementation from Amazon EMR went smooth, and continued usage is definitely better. However, Amazon EMR was significantly cheaper overall between the high transaction fees and cost of storage due to growth. The two both have their advantages and disadvantages, but the functionality of Azure Data Lake Storage outweighed it's cost
Microsoft Sentinel excels in cloud-native scalability, Microsoft ecosystem integration, and AI-driven threat detection with UEBA and Fusion rules, offering faster deployment and lower costs (48% cheaper per Forrester) than Splunk, QRadar, Exabeam, SentinelOne, Securonix, and Wazuh. It lags in third-party integrations and syslog parsing. Organizations choose Microsoft Sentinel for its cost-effectiveness, automation, and Microsoft synergy, especially in Azure-heavy environments, though Splunk and Exabeam lead in flexibility and UEBA, respectively.
Instead of having separate pools of storage for data we are now operating on a single layer platform which has cut down on time spent on maintaining those separate pools.
We have had more of an ROI with the scalability as we are able to control costs of storage when need be.
We are able to operate in a more streamlined approach as we are able to stay within the Azure suite of products and integrate seamlessly with the rest of the applications in our cloud-based infrastructure
As any cybersecurity product, this has to be more with risk to avoid loss in case of a ransomware that more than relate to a productivity increase. Maybe the impact could be that instead of having people that are checking 24/7 the dashboard, you could implement Sentinel and have less people checking that or people with less expertise. So the saving will be a minor but will be a saving in the cost of your team.
