Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
OpenNMS Meridian
Score 8.0 out of 10
N/A
OpenNMS Meridian is a scalable open source network management platform with network traffic analysis, network discovery, alerting, and monitoring. It's presented as a solution to monitor enterprise network performance and ensure the availability and performance of critical network services.
$42,000
per year
Pricing
Elasticsearch
OpenNMS Meridian
Editions & Modules
Standard
$16.00
per month
Gold
$19.00
per month
Platinum
$22.00
per month
Enterprise
Contact Sales
Essential
$42,000
per year Up to 2 Meridian and cores Up to 25 Minions
Premier
$56,700
per year Up to 4 Meridian cores and Up to 100 Minions
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.
I would recommend all system administrators use some form of network monitoring if they are not already doing so, and I'd definitely recommend people consider OpenNMS if they're shopping around. Small businesses will benefit from the low-cost of entry (it's free!), whilst getting all the enterprise features. Larger businesses can benefit from paid support plans.
However, there's no getting around the fact that you will require some advanced networking and sysadmin knowledge to get the most out of OpenNMS, or at least, be prepared for a steep learning curve. If you don't have the resources to devote this time initially, you may struggle.
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.
I haven't quite figured out how to make topologies work yet, but I haven't spent a ton of time on it either.
We've also had a bit of trouble importing some MIBs, but that usually boiled down to working with the vendor to make sure we had the right MIBs and dependencies.
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.
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.
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.
OpenNMS's more attractive GUI and its price break were the main reasons our company chose to explore and use this product. However, it never managed to actually replace Nagios which had a much more established hold within the company. Perhaps we were over-monitoring, but our company claimed a $100k loss per hour of downtime.
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.
Initial adoption required quite a lot of resources and time to get everything right. Totally worth it for us; just be prepared for a gradual process that will get better and better with time.
Once setup and running smoothly, it provides us with all the reporting we could hope for, at near zero cost.
With OpenNMS, we're able to offer a much more reliable service to our customers, and spend a lot less time dealing with issues.
