Elasticsearch vs. Pandora FMS

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.

Incentivized

I believe Pandora FMS is a solution that adapts to any type of scenario; it's useful for small businesses as well as large organizations. It more than meets the need to have a comprehensive monitoring system capable of sending alerts instantly and consulting historical data, logs, and trends. Additionally, for small businesses, the free version will be more than sufficient in most cases. And for those who do not want to deploy the service on-premise, there is an option for MaaS (Monitoring as a Service).

Incentivized

• 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.

Incentivized

• All-in-one software
• Flexible and easy configuration
• Multi-platform
• Design in PERL, CCS and HTML5

• Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations
• Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs
• Schema changes require complete reindexing of an index

Incentivized

• The interface is not intuitive due to the number of options it has and its organization.
• It has a free version with limitations, and another paid version. The commercial one has a quite high cost.
• It has a certain learning curve.

Incentivized

We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.

Incentivized

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.

Incentivized

The solution is very complete, and even includes extras such as IPAM.
Deployment can be a bit unintuitive at first, but once you become familiar with the solution and thanks to its automatic deployment options it ends up being easier than it seemed. The power and options of the solution are its greatest virtue.

Incentivized

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.

Incentivized

The support team answers very quickly. They are always willing to find a solution to any need that is required by us or one of our clients.

Do not mix data and master roles. Dedicate at least 3 nodes just for Master

Incentivized

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.

Incentivized

Before using Pandora FMS, tests were carried out with all these tools:

• Nagios
• Zabbix
• System Center Operations Manager (SCOM)
• IBM Tivoli
• PRTG
• SolarWinds

Pandora FMS allows simple customization by making adjustments to text files, developing agent add-ons without the need to be a programmer, there is no scenario where we could not take data and save it in PandoraFMS, IoT, industrial products, and everything that any client needs to monitor.

• 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.

Incentivized

• Substantial improvement in monitoring service. Detecting alerts on time always results in economic savings.
• Improvement in the periodic report associated with the capacity plan. The tool is indispensable in decision-making.
• Centralization and tool savings. Pandora FMS's versatility allows centralizing several functions into a single tool.

Incentivized