Elastic Observability vs. IBM Cloud Pak for AIOps

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Elastic Observability
Score 8.8 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
IBM Cloud Pak for AIOps
Score 8.0 out of 10
N/A
IBM Cloud Pak for AIOps (formerly IBM Watson AIOps) allows users to deploy advanced, explainable AI on an open platform to assess, diagnose, and resolve incidents across mission-critical workloads. With it, users can extend the event analytics from IBM Netcool Operations Insight with real-time analysis of unstructured data, holistic correlation, and ChatOps integration; or, users can augment an existing monitoring solutions.N/A
Pricing
Elastic ObservabilityIBM Cloud Pak for AIOps
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Elastic ObservabilityIBM Cloud Pak for AIOps
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
Community Pulse
Elastic ObservabilityIBM Cloud Pak for AIOps
User Ratings
Elastic ObservabilityIBM Cloud Pak for AIOps
Likelihood to Recommend
8.0
(0 ratings)
6.6
(0 ratings)
User Testimonials
Elastic ObservabilityIBM Cloud Pak for AIOps
Likelihood to Recommend
Great platform for managing application and server logs at a large scale. Elasticsearch can be integrated into 3rd-party software. For example, when combined with Kibana, beats, and logstash to build a full ELK stack it is very powerful and extremely useful for log evaluation, analysis showing detailed information, and creating a monitoring system.
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Functional and very excellent Cloud system which offers multiple Cloud services and the best tool to manage different data center which are from various Vendors and secure data management IBM solution with easy and friendly interface. The integration tools are excellent and the ability to fix issues from multiple environment and the analytics are good.
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Pros
  • Licensing model is fair compared with other vendors that charge much more
  • Ability to scale and ingest a lot of data without having to worry too much about performance issues that may crop up
  • Searches return very fast
  • GUI searching interface and filters are intuitive and suitable for new users
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  • Easy management of multiple data center from single platform.
  • Multiple host issues management and also nice file management tool.
  • Effective interactive chatbot building.
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Cons
  • User Interface.
  • Dashboarding.
  • Charting issues.
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  • Deployment procedure documentation can be improved.
  • Fine tuning capabilities for IT Asset management could be improved.
  • Alerting features could be improved.
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Alternatives Considered
Elastic observability has a lot of features and good customer support. And Overall cost is good. Product functionality and performance are good but have some charting issues. But it is good. Elastic observability has a product roadmap and future vision. And it also has a good and strong user community with a lot of people engaging with good customer support for all needs.
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IBM Watson AIOps stacks up well with Turbonomic because it basically is Turbonomic. IBM added Turbonomic's feature set into IBM Watson AIOps and we were therefore quite comfortable shifting to the re-branded version introduced by IBM. We do like the fact that IBM Watson AIOps includes the functionality of Turbonomic.
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Return on Investment
  • Flexibility to store, search and aggregate any type of data, regardless of data source.
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  • Time savings for my team with IT Asset Management tasks.
  • Time savings for my Application Engineers for cleanup tasks.
  • Resource usage savings in our Hybrid Cloud Environments.
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ScreenShots