Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Microsoft Sentinel
Score 8.6 out of 10
N/A
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.
Elasticsearch, we did a demo about it. Also the CrowdStrike platform, we got a demo on it. How did they compare? I think Elasticsearch, for us, it's more hard to configure. Microsoft Sentinel is pretty straight to the point. We turn on stuff, it's plug-and-play. CrowdStrike, …
Elastic seems to have a much better interface for log search and is able to filter out noise. Microsoft Sentinel also appears to generate a lot of false positives.
Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
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.
As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
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.
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
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.
We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
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!
As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
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.
We have had great luck with implementing Elasticsearch for our search and analytics use cases.
While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
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.
