Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
LogRhythm NextGen SIEM Platform
Score 7.1 out of 10
N/A
The LogRhythm NextGen SIEM Platform, from LogRhythm in Boulder, Colorado, is security information and event management (SIEM) software which includes SOAR functionality via SmartResponse Automation Plugins (a RespondX feature), the DetectX security analytics module, and AnalytiX as a log management solution that centralizes log data, enriches it with contextual details and applies a consistent schema across all data types.
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.
LogRhythm is good for providing a comprehensive view of the environment. It gives a great outline of whatever is going on in our servers and systems regarding security malfunctions. The SIEM sends real-time notifications when there are some occurrences; like creating a new user and inappropriate login attempts. It also avails a good use case that meets our HIPAA compliance.
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.
LogRhythm NextGen SIEM Platform has an alarm system that generates tickets based on the event and the way it has been configured in the LogRhythm console. Let's say we have a ticket for a malicious email attachment. The ticket will some information like the source of the log, the source IP, destination IP etc. It can be drilled down to obtain specific information like the recipient, source location, file attachment name, SHA hash of the file, source and destination port, time, mac address of the machine that downloaded it etc. This helps the analysts to go to the root of the cause and take actions easily without manually parsing them.
The second good thing about the LogRhythm NextGen SIEM Platform is that it is very easy to use with its well-structured interface. To use LogRhythm, an user barely require any technical skills. A little overview of IP, CIDR, hash, etc. is enough to get your hands on it. It requires no programming or coding skills, as everything is GUI based. It also provides a beautiful visualization dashboard. There is another beautiful feature that it provides for the classification of events, known as cases. Multiple users working on the same platform can create cases and add events to it. They also help to maintain future reference.
The third good feature is the search tool which is very powerful. For example, sometimes it is hard to find the users who downloaded a malware from the guest wireless of the institution and not the private network. The search tool helps us in searching the user by automatically correlating the MAC address from the current network logs and the previous logs as the MAC address is the same. It is highly scalable for parsing a large number of logs from various sources.
I particularly think this is one of the best software available for log parsing in an organization where non-technical users are working on incident response. This tool has a good amount of flexibility. However, it can only be configured with the LogRhythm NextGen SIEM Platform Console.
In terms of usability, as already mentioned, it is a very easy tool to use, with a GUI based interface.
LogRhythm absolutely needs to provide back end support for threat intelligence lists. Performing a linear search on massive lists of IPs on incoming web traffic can bring the SIEM to its knees.
LogRhythm should drop its entire code base for implementing lists and simply turn them into hash tables to avoid the excessive cost associated with referencing lists in rules. I haven't seen the code, but the performance suggests O(n).
The reporting feature is the worst of all SIEMs, luckily reports are not my primary service offering. LogRhythm should definitely revamp its reporting to be more intuitive.
LogRhythm is focused on SIEM. That is their core business. Cost of operations, feature set and ease of use. The Log Rhythm support team is outstanding. Overall reliability is good. Reporting module needs some improvement and LR is promising that there will be significant improvements in future releases.
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.
LogRhythm does a rather decent job of making the functionality advanced (allowing for advanced keyword & field searching, use of "AND" as well as "OR" statements in the search bar) while keeping it accessible (by not requiring a specific syntax to do quick searches). This combined with a user interface that has headings and labels that are intuitive is very helpful.
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.
While LogRhythm support is generally quick to respond, the initial response is usually from a first line support engineer with general knowledge of the product. Any advanced or complex issues have always required the assistance of a higher tier of support, directly or indirectly. For a few occasions we actually used our PS hours to work on the issue.
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.
LogRhythm was simpler to set up and configure as well as extract information from. It also was less intrusive in terms of how many appliances were needed to implement. We were up and running within 5 hours to start accepting log sources. We selected LogRhythm as well since support is based in the USA in Colorado.
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.
The ability to search through logs in a centralized location really helps us to provide RCA (Root Cause Analysis) to management for outages. This helps us to quickly identify the cause of outages and thus saves money due to reduced downtime.
Being able to configure the alarms to provide real-time notification (and responses) to security events helps to prevent potential loss due to compromises (such as a fraudulent wire transfer).
The initial investment in LogRhythm SIEM is somewhat expensive, however, the appliance is built to your specific needs so you won't have to constantly be upgrading the device as your company grows.
