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Ivanti Autonomous Endpoint Management vs. ScienceLogic AI Platform

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Ivanti Autonomous Endpoint Management

    Score7.4 out of 10
    N/AIvanti Autonomous Endpoint Management (AEM) is an enterprise endpoint-operations solution built on the Ivanti Neurons platform. It combines unified endpoint management (UEM)—centralized management of desktops, mobile devices, and other endpoints—with digital employee experience monitoring, asset discovery, security controls, and automated remediation. Ivanti positions AEM as a broader solution layer that brings UEM, digital employee experience, and security capabilities together rather than as a…N/A

    ScienceLogic AI Platform

    Score8.2 out of 10
    Enterprise companies (1,001+ employees)
    ScienceLogic provides a unified IT Operations platform designed to manage operational workflows using high-fidelity Telemetry Data and explainable automation. The ScienceLogic AI Platform is deployable across On-Premises, Cloud, and Hybrid Environments. The platform consolidates monitoring tools to provide Observability and enables engineers to automate manual processes using Machine Learning capabilities. The platform utilizes automation for Closed-Loop Remediation and provides insights…N/A
    Pricing
    Ivanti Autonomous Endpoint ManagementScienceLogic AI Platform
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Ivanti Autonomous Endpoint ManagementScienceLogic AI Platform
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesYes
    Entry-level Setup FeeRequiredRequired
    Additional DetailsScienceLogic SL1 offers four tiers: SL1 Advanced – Application Health, Automated Troubleshooting and Remediation Workflows SL1 Base – Infrastructure Monitoring, Topology & Event Correlation SL1 Premium – AI/ML-driven Analytics, Low-Code Automated Workflow Authoring SL1 Standard – Infrastructure Monitoring – with Agents, Business Services, Incident Automation, CMDB Synchronization, Behavioral Correlation
    More Pricing Information
    Community Pulse
    Ivanti Autonomous Endpoint ManagementScienceLogic AI Platform
    Considered Both Products
    Ivanti
    No answer on this topic
    ScienceLogic
    No answer on this topic
    Key User Insights
    Would buy again
    83%
    Would buy again
    29 Answers
    87%
    Would buy again
    81 Answers
    Delivers good value for the price
    91%
    Delivers good value for the price
    30 Answers
    91%
    Delivers good value for the price
    71 Answers
    Happy with the feature set
    83%
    Happy with the feature set
    29 Answers
    92%
    Happy with the feature set
    86 Answers
    Lived up to sales and marketing promises
    81%
    Lived up to sales and marketing promises
    22 Answers
    85%
    Lived up to sales and marketing promises
    44 Answers
    Implementation went as expected
    79%
    Implementation went as expected
    23 Answers
    81%
    Implementation went as expected
    58 Answers
    Features
    Ivanti Autonomous Endpoint ManagementScienceLogic AI Platform
    AIOps Features
    Comparison of AIOps Features features of Ivanti Autonomous Endpoint Management and ScienceLogic AI Platform
    Feature
    Ivanti Autonomous Endpoint Management
    -
    Ratings
    ScienceLogic AI Platform
    7.5
    26 Ratings
    2% below category average
    Monitoring and Alerting00 Ratings8.225 Ratings
    Performance Analytics00 Ratings7.726 Ratings
    Incident Management00 Ratings6.626 Ratings
    Service Desk Integration00 Ratings7.525 Ratings
    Root Cause Analysis00 Ratings7.721 Ratings
    Capacity Planning Tool00 Ratings7.222 Ratings
    Configuration and Change Management00 Ratings7.723 Ratings
    Automated Remediation00 Ratings7.620 Ratings
    Collaboration and Communication00 Ratings7.920 Ratings
    Threat Intelligence00 Ratings7.319 Ratings
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    User Ratings
    Ivanti Autonomous Endpoint ManagementScienceLogic AI Platform
    Likelihood to Recommend
    6.9
    (112 ratings)
    8.0
    (228 ratings)
    Likelihood to Renew
    8.0
    (19 ratings)
    8.4
    (24 ratings)
    Usability
    7.0
    (19 ratings)
    9.6
    (15 ratings)
    Availability
    -
    (0 ratings)
    9.2
    (14 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (14 ratings)
    Support Rating
    9.9
    (10 ratings)
    6.5
    (20 ratings)
    In-Person Training
    -
    (0 ratings)
    8.8
    (6 ratings)
    Online Training
    10.0
    (1 ratings)
    7.7
    (8 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    6.4
    (99 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (7 ratings)
    Ease of integration
    -
    (0 ratings)
    8.0
    (15 ratings)
    Product Scalability
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.1
    (7 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.4
    (7 ratings)
    User Testimonials
    Ivanti Autonomous Endpoint ManagementScienceLogic AI Platform
    Likelihood to Recommend
    Ivanti
    I think that Ivanti Autonomous Endpoint Management can be well suited to most scenarios for patch management. The different options with Ring Deployments allow for rolling out patches in any number of circumstances. Typical monthly, weekly, daily, zero day response, etc. There is some lack of control over how to wrap up a deployment. What I mean is that in a scenario where we need extremely controlled rollouts, some of the features do not align well. For our organization, we would ideally evaluate patches that come out each Patch Tuesday. Select those patches for deployment, deploy those to our test servers over 3 days, wait 2 days, then deploy to production for 3 days. While we have plenty of control over the initial deployment, we have no clean way to say "after these 3 days, no longer deploy the patch". In our specific scenario, we sacrifice process to align with the tool's capabilities.
    Incentivized
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    ScienceLogic
    For Windows, the issue is in higher resource consumption related to WinRM monitoring, which provides better options then the SNMP monitoring, which on the other hand is less resource intensive. The problem is also with support for OS with other than English language.
    Incentivized
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    Pros
    Ivanti
    • Ivanti Autonomous Endpoint Management is light weight and easy to install
    • Ivanti Autonomous Endpoint Management allows the user to defer a required restart. Allowing them to restart their machine at a time that's more convenient for them.
    • Comparatively, Ivanti Autonomous Endpoint Management is a budget friendly solution.
    Incentivized
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    ScienceLogic
    • Best overall coverage of montioring different technologies.
    • Easy to use in any environment
    • Customizable being able to generate your own reports, dashboards, DA's, RBA's, etc.
    • Have very good out of the box integrations with other monitoring solutions such as ServiceNow
    • Always improving and regularly releasing new versions and upgrades to the system/DA's.
    • Interactive community
    Incentivized
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    Cons
    Ivanti
    • MDM has fallen a bit flat, however, with the recent acquisition of MobileIron I believe this will change but as of now there is some of this still built into the product
    • The antivirus portion of the product hasn't had much love and could use a bump. It is not bad at all but I would like to see it hit that next level.
    • Data Analytics is the most powerful tool inside this platform but it is so hard for people to figure it out that it often goes unused. It needs a good redesign.
    • API could use some work.
    Read full review
    ScienceLogic
    • Dashboards are quite old and are of Iron age. Need to have AP2 dashboards only instead of AP1 and consistent new design across all functionalities.
    • Reporting is not improved since Y2020 and need to revamp completely. Need to integrate Dashboards and Reporting. PowerBI Like functionality to be given OOTB. Reports should be extracted in Excel, PDF, HTML and should be heavily automated.
    • Create and Open APIs for basic and advanced monitoring data extraction.
    • Topology based Event Correlation and Suppression should be improved drastically. Need to identify critical network interfaces based on Topology and monitor them. Basic customization of Dynamic App and/or Powerpack to exclude/include certain metrics/events to be permitted OOTB instead of customizations.
    • Integration with ServiceNow to be improved and to be taken to next level. Automation Powerpack should be made available OOTB as part of base product and to be priced attractively.
    • Take product to next level where we can monitor actual impacted IT or Business Service instead of metrics and events BSM and Topology map to be auto discovered and identify the network dependencies and alternate paths automatically instead of manual creation of BSM.
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    Likelihood to Renew
    Ivanti
    MobileIron is a constantly evolving platform that stays current with industry trends. iOS updates? No problem, they're supported almost immediately after a new iOS version comes out. If you are a Core (on-prem) customer there is ample support and assistance to migrate to the Cloud version of MobileIron (although I've yet to convince my department head to approve the request). The platform is very robust and extremely configurable. Management roles can be delegated effectively to other staff without compromising security. These in alone are important, but even more important is the company itself - they are great to work with, from support to sales. We have never had a situation where MobileIron left us on our own, and many times support has gone way beyond what is simply required in order to educate us or extend the usefulness of the product
    Incentivized
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    ScienceLogic
    It is simply because of all the best possible autonomy solutions it is providing and getting better day by day. Using AI and Devops along with handy automation, The monitoring and Management of devices becomes much easier and the way it is growing in all the aspects is one the best reasons too. Evolution of the SL1 platform in the autonomy monitoring and management is quite appreciable.
    Incentivized
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    Usability
    Ivanti
    It's relatively straightforward as far as using it. We can create roles in it and have some of our junior engineers still do the patching. Also, creating rules and exclusions, once shown, can be done by most of our engineers. We also like the interface on the home page that shows the current progress of our patch deployments
    Incentivized
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    ScienceLogic
    The core functions are there.
    The complexity is due to the complexity of the space.
    The score is based on comfort (I no longer notice the legacy UI) and the promise that I see in the 8.12 Unified UI (a vast improvement).
    It is also based on the fact that with 8.12, you can now do everything in the new UI but you still have the legacy UI as a fallback (which should now be unnecessary for new installations)
    Incentivized
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    Reliability and Availability
    Ivanti
    No answers on this topic
    ScienceLogic
    SL is always there and online when you need to get info from it. The only times when SL was not available in our own data center, was when network links from out side of the data center was down and those links were not in our controll. Having a central database and people accessing it all over the world, may put a bit of constarin on the performance of the dashboards when reports gets generated, but that is far and few n between.
    Incentivized
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    Performance
    Ivanti
    No answers on this topic
    ScienceLogic
    SceinceLogic SL1 architecture helps the platform to give a top-notch performance in every respect, Data collection to reporting happens very smoothly. With the new user interface pages load much faster. Individual appliances carrying the individual task ensure things are working without lag. Integration with ticketing tool(SNOW) is well managed by the ScienceLogic, no issue or much delay has been observed while interacting with an external tool.
    Incentivized
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    Support Rating
    Ivanti
    TRM\TAM support has been generally very good. Getting reported bug fixes, design changes, UX problems resolved has been a pain. It is often difficult to get problems escalated beyond the TRM\TAM level. Support is fantastic when you can get it, getting it can often require more work than it should, and that is probably our biggest issue.
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    ScienceLogic
    So far, it's good as part of my overall experience, except for a couple of use cases. The support team is well knowledgeable, has technical sound, and is efficient. When support escalates to engineering, the issue gets stuck and takes months to resolve.
    Incentivized
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    In-Person Training
    Ivanti
    No answers on this topic
    ScienceLogic
    It was good, Do the online training first and understand it and you will get the most out of the in-person training that way. This also takes you to an advanced level which is very good and the training as been overhauled once again along with new product coming in such as Zebruim / Skylar, worth going through again if it a while back that you first did this.
    Incentivized
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    Online Training
    Ivanti
    It is online based, after learning content you can take a test and if you don't pass you get two other chances to pass. Once you pass the test you can print out your certification or save it
    Incentivized
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    ScienceLogic
    There are a lot of educational materials and courses on the SL1 training site (Litmos university). However the recording quality is sometimes not very good - screen resolution is low. There is a lack of professional rather than user-oriented documents and there are mistakes in documentation and education is not well structured.
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    Implementation Rating
    Ivanti
    None, implementation went great
    Incentivized
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    ScienceLogic
    Implementation is smooth if we are to just support the out-of-the-box features available in ScienceLogic. For any custom requirement, having to go to SL1 Professional Services is the worst part of procuring this suite. And more often than not, SL1 Professional Services also ask to raise feature request. So, you subscribe to Professional Services to only hear back from them that "This feature is not supported and needs to have a separate feature request". At times frustrating.
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    Alternatives Considered
    Ivanti
    Better in most all categories. On-prem was not an issue for my organization. MS SCCM was lacking features. Airwatch required increasing tiers of service in order to match [Ivanti Unified Endpoint Manager (formerly LANDESK Management Suite)] features, and lacked the robust inventory data we needed. Meraki was very simple to use, but did not meet our needs. I would say that most Airwatch customers aren't using all the features they are paying for, and could save lots of money by using Meraki instead.
    Read full review
    ScienceLogic
    Science logic SL1 is so user friendly and it's really easy to navigate between function. I would recommend Sciene logic SL1 to all of them who are looking for really useful monitoring tool and expecting easy way of managing it.
    Incentivized
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    Scalability
    Ivanti
    No answers on this topic
    ScienceLogic
    Our deployment model is vastly different from product expectations. Our global / internal monitoring foot print is 8 production stacks in dual data centers with 50% collection capacity allocated to each data center with minimal numbers of collection groups. General Collection is our default collection group. Special Collection is for monitoring our ASA and other hardware that cannot be polled by a large number of IP addresses, so this collection group is usually 2 collectors). Because most of our stacks are in different physical data centers, we cannot use the provided HA solution. We have to use the DR solution (DRBD + CNAMEs). We routinely test power in our data centers (yearly). Because we have to use DR, we have a hand-touch to flip nodes and change the DNS CNAME half of the times when there is an outage (by design). When the outage is planned, we do this ahead of the outage so that we don't care that the Secondary has dropped away from the Primary. Hopefully, we'll be able to find a way to meet our constraints and improve our resiliency and reduce our hand-touch in future releases. For now, this works for us and our complexity. (I hear that the HA option is sweet. I just can't consume that.)
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    Return on Investment
    Ivanti
    • The installation of MobileIron was for security compliance so we could containerize email on BYOD devices and also control who got email on company phones (to prevent hourly workers from working on emails after hours). MobileIron met this need nicely.
    • MobileIron allowed us to utilize device certificates to prevent unauthorized devices from joining wireless networks in our company.
    • MobileIron allows our sales staff to get emails on the road and many users rely on the functionality and ease of the phone for general mail communication.
    Incentivized
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    ScienceLogic
    • Once a powerpack is developed and configured for a device for one customer, it is easy to deploy the same powerpack on a second customer estate and configure specifically for that customer without having to reinvent the powerpack. This saves time and therefore money.
    • Once the customer estate tuning is complete, the Operations team have come trust the alerts. This is especially true when transient or self-correcting alerts are automatically cleared without ops team involvement, but a record is still available for audit and debugging purposes. This saves time and therefore money.
    • When setup correctly, it provides good visibility into applications, devices and whole customer estates. This saves time and therefore money when issues arise.
    Incentivized
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    ScreenShots

    Ivanti Autonomous Endpoint Management Screenshots

    Screenshot of Asset VisibilityScreenshot of Autonomous PatchScreenshot of Predictive RemediationScreenshot of Digital Employee Experience ManagementScreenshot of Self Healing

    ScienceLogic AI Platform Screenshots

    Screenshot of Unified Observability and Contextual IntelligenceScreenshot of Relationship Mapping & Service VisibilityScreenshot of ITSM and Collaboration IntegrationsScreenshot of Low-Code Workflow BuilderScreenshot of Dynamic Application DevelopmentScreenshot of Executive Overview Dashboard