Elastic Observability vs. meshIQ

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Elastic Observability
Score 9.0 out of 10
N/A
Elastic Observability, from Elastic, the makers of Elasticsearch, is a solution that aims to bring logs, metrics, and APM based on the former Opbeat (acquired by Elastic in 2017) traces together at scale in a single stack so users can monitor and react to events happening anywhere in an IT environment. It's free and open to start, and adds the Logs, Metrics, APM (formerly Opbeat), and Uptime modules to the Elastic (ELK) Stack.N/A
meshIQ
Score 8.9 out of 10
N/A
meshIQ provides observability and management capabilities for middleware platforms, from modern Kafka-based streaming to legacy messaging technologies such as IBM MQ, across cloud and on-premises environments.N/A
Pricing
Elastic ObservabilitymeshIQ
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Elastic ObservabilitymeshIQ
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Elastic ObservabilitymeshIQ
Best Alternatives
Elastic ObservabilitymeshIQ
Small Businesses
InfluxDB
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Score 8.8 out of 10
InfluxDB
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Score 8.8 out of 10
Medium-sized Companies
Sumo Logic
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Score 9.3 out of 10
Sumo Logic
Sumo Logic
Score 9.3 out of 10
Enterprises
NetBrain Technologies
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Score 9.2 out of 10
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Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Elastic ObservabilitymeshIQ
Likelihood to Recommend
8.0
(4 ratings)
9.0
(1 ratings)
User Testimonials
Elastic ObservabilitymeshIQ
Likelihood to Recommend
Elastic
We can use this Elastic Observability in our business problems such as Creating internal/operational efficiencies issues, customer relations/service, and business process outcomes issues. This product has a lot of features for the above problems. But this product may be having some issues when charting purposes. But it can adjust for that purpose.
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meshIQ
If you're involved in any business that is related to banking, insurance and lending industry, take the short way and save yourself from thousands of wasted dollars on fraud detection and application management issues, Nastel is my savior and it's the most powerful killer solution to beat the fraud and have a winning application performance management, It's like hiring a mathematics magician with super powers to help businesses get over the delayed amount of time spent on a problem, and the average time to process a claim, reduce errors and most importantly to decrease the number of tickets at the help center for a better and higher customer satisfaction score.
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Pros
Elastic
  • Open source code base
  • Community support
  • Is fast in processing
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meshIQ
  • Its ability to detect and correct IBM MQ issues before they effect the production.
  • performance trends and statistics in real-time.
  • Rapid and accurate monitoring of Command Servers, Dead Letter Queues, Queue Managers, Qdepth and Listeners.
  • Built-in complex event processing to gain valuable visibility into order fulfillment processes
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Cons
Elastic
  • Difficult to setup/maintain
  • Search pattern bar could be more user-friendly
  • Premium subscription features are very expensive
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meshIQ
  • The UI needs a lot of improvements to meet today's standards while keeping the functional part highly performing as it used to be
  • Being unable to run reports through the workgroup security manager is a serious con, I think they need to consider giving it more attention
  • the auto-monitoring feature performance goes low when it's enabled during a heavy workloads, it leads to a lower/heavier performance, but during the latest update I feel it got lighter somehow.
  • They also need to give more attention to the encryption and enhance it with the latest encryption technologies
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Alternatives Considered
Elastic
Splunk is a very good product but the licensing costs are high; we utilise the best of both worlds by using both products for slightly different purposes. We put the voluminous data with simple use cases in Elastic where it doesn't cost too much and can be searched quickly while putting the less voluminous data with more complex use cases in Splunk so we can take advantage of Splunk's very comprehensive but often much slower SPL search query language
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meshIQ
No answers on this topic
Return on Investment
Elastic
  • Cost management.
  • Good customer increment.
  • Time management.
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meshIQ
  • A reduction in point of sale abandonment by 70% reflects the change in mindset of customers who are no longer irritated by price anomalies.
  • The company was able to merge many unnecessary servers due to thousands of useless queues it had, resulting in yearly savings of more than $250,000
  • improved efficiency and cost-savings by 80% within the first 2 months
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ScreenShots