Compare Moogsoft vs. Wavefront by VMware

Moogsoft is ranked 21st in IT Infrastructure Monitoring with 3 reviews while Wavefront by VMware is ranked 17th in IT Infrastructure Monitoring with 6 reviews. Moogsoft is rated 7.4, while Wavefront by VMware is rated 7.4. The top reviewer of Moogsoft writes "Improves the efficiency of our organization but it should have more artificial intelligence ". On the other hand, the top reviewer of Wavefront by VMware writes "Simplifies troubleshooting by identifying trends from different data sources". Moogsoft is most compared with Splunk, BigPanda and ScienceLogic, whereas Wavefront by VMware is most compared with Datadog, AppDynamics and Dynatrace. See our Moogsoft vs. Wavefront by VMware report.
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Moogsoft Logo
8,934 views|6,039 comparisons
Wavefront by VMware Logo
4,264 views|3,487 comparisons
Most Helpful Review
Find out what your peers are saying about Moogsoft vs. Wavefront by VMware and other solutions. Updated: January 2020.
391,045 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The solution is extremely helpful with correlating IP failures and it has a very good sort of flow chart of IP systems. For example, if you see a failure in system A, you can track it down to the system causing the issue. This is a very handy feature.The product currently seems to be a few steps ahead of the competition.Moogsoft AIOps integrates seamlessly with 50-plus IT monitoring, automation, service management, notification, and collaboration tools. It also provides a great and easy-to-use interface for observing.

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No issues with stability.The most valuable aspects of the solution are its ease of use and its ease of implementation.People are very pleased with the implementation.The features I find most valuable is the querying and alerting capabilities.This solution makes it a lot easier to figure out trends within very different data sources, which makes it easy to see why something is misbehaving.This solution allows me to have true visibility for any metrics when it comes to my cloud, and private.

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Cons
I would like to see more integrations. It is rather difficult to install the enterprise systems with the agents.It is taking a long time to set it up and could do more to roll out quickly.Some additional API interfacing would be great to enable getting the data out of AIOps programmatically.

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It could use a URL document server. Everything in the market is moving towards automation and everybody's looking for the single click operations as well relational data locality.They could make it more easy to plug-in data so that a nontechnical person will be able to use it, like accountants or finance people. That way they don't have to ask us.The implementation is a long process that should be improved.In the new version, I would love to see more prediction capabilities. It would be great if one could see the alerts get a little more enriched with information and become more human-friendly instead of the technical stuff that they put in there. I think those would be really awesome outcomes to get.I would like to see more out-of-the-box dashboards for in-depth application monitoring of standard products that are out there.I would like to see integration with Kubernetes cluster and APIs so that you can manage the entire stack.

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Pricing and Cost Advice
It's a very cost-effective and competitive product.

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Different locations require different setups. In your terms, around 300 to around 400K USD.Educational pricing is available for this solution.We were given a year's worth of service. It was included within our ELA. We were trying to do a proof of concept, which is almost over now.

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Ranking
Views
8,934
Comparisons
6,039
Reviews
3
Average Words per Review
703
Avg. Rating
7.3
Views
4,264
Comparisons
3,487
Reviews
5
Average Words per Review
576
Avg. Rating
7.4
Top Comparisons
Compared 33% of the time.
Compared 20% of the time.
Compared 5% of the time.
Compared 20% of the time.
Compared 16% of the time.
Compared 13% of the time.
Also Known As
Wavefront
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Moogsoft
VMware
Overview
Moogsoft AIOps sits on top of your entire production stack (including ITOM and APM) and extends across your automation, service management, log indexing and notification tools. Algorithmic Noise Reduction automatically reduces event volumes to unique alerts without relying on rules, filters or models. This enables your team to analyze all of your monitoring ecosystem events with no noise and no blind spots.

Wavefront is a metrics-driven analytics platform. DevOps, TechOps and developer teams are using Wavefront to monitor their cloud-native applications and infrastructure at unprecedented scale.

Key Wavefront differentiators include:

  • Query-driven analytics to identify and resolve applications performance anomalies across the entire stack
  • Smart, analytics-driven alerts to proactively monitor application issues, avoid false positives
  • Interactive dashboards to help investigate, iterate and share insight across all teams
  • Complete API to help automate monitoring, integrate across DevOps functions.

Thousands of developers and DevOps engineers at use the Wavefront platform daily, in real-time, across hundreds of dashboards and alerts based on trillions of data points.

Offer
Learn more about Moogsoft
Learn more about Wavefront by VMware
Sample Customers
RetailNextBox, Intuit, Workday, Groupon, British Gas, SpaceApe, Marketo, DoordDash, Lyft
Top Industries
VISITORS READING REVIEWS
Software R&D Company34%
Government11%
Manufacturing Company8%
Insurance Company7%
VISITORS READING REVIEWS
Software R&D Company42%
Comms Service Provider9%
Retailer7%
Media Company5%
Find out what your peers are saying about Moogsoft vs. Wavefront by VMware and other solutions. Updated: January 2020.
391,045 professionals have used our research since 2012.
We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.