Elasticsearch vs. ITRS Geneos

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Elasticsearch
Score 8.5 out of 10
N/A
Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
ITRS Geneos
Score 4.1 out of 10
N/A
ITRS Geneos is an IT infrastructure, application, and transaction flow monitoring solution. It is targeted towards the financial industry and its data transaction and performance monitoring needs.N/A
Pricing
ElasticsearchITRS Geneos
Editions & Modules
Standard
$16.00
per month
Gold
$19.00
per month
Platinum
$22.00
per month
Enterprise
Contact Sales
No answers on this topic
Offerings
Pricing Offerings
ElasticsearchITRS Geneos
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
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ElasticsearchITRS Geneos
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User Ratings
ElasticsearchITRS Geneos
Likelihood to Recommend
9.0
(48 ratings)
8.0
(2 ratings)
Likelihood to Renew
10.0
(1 ratings)
-
(0 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
7.8
(9 ratings)
9.0
(1 ratings)
Implementation Rating
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
ElasticsearchITRS Geneos
Likelihood to Recommend
Elastic
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.
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ITRS
ITRS Geneos is well suited in any situation where uptime is mission critical.
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Pros
Elastic
  • 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.
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ITRS
  • ITRS Geneos has many built-in plugins to integrate with other widely used tools like Control-M.
  • Apart from being the monitoring tool, it provides different features like capacity planning and log analytics.
  • ITRS Geneos' new UI is quick, responsive and user-friendly.
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Cons
Elastic
  • 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
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ITRS
  • The only problem I really had was the adjustment abilities of the GUI, otherwise it was a great product.
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Likelihood to Renew
Elastic
We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
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ITRS
No answers on this topic
Usability
Elastic
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.
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ITRS
No answers on this topic
Support Rating
Elastic
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.
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ITRS
ITRS Geneos support is well managed by its wide variety of options like live chat, query submissions, 24/7 on-call support, self help and of course well-documented details about its features and troubleshooting methods. ITRS Geneos is being used by many big size organizations because it is a stable product with a good pool of knowledge available about it.
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Implementation Rating
Elastic
Do not mix data and master roles. Dedicate at least 3 nodes just for Master
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ITRS
No answers on this topic
Alternatives Considered
Elastic
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.
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ITRS
Every tool that competes in the market with ITRS Geneos has its own capabilities and shortcomings. For our project, ITRS Geneos stands out since it is a stable product with a long history of serving large organizations with huge number of components to monitor. ITRS Geneos has upgraded itself to a new and better GUI interface and has offered integration with different tools.
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Return on Investment
Elastic
  • 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.
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ITRS
  • Prevented losses in trades
  • Efficient server maintenance
  • Preventative server maintenance
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ScreenShots