--- title: ScienceLogic AI Platform Reviews meta_title: 'ScienceLogic AI Platform Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 28 reviews by the users' company size, role or industry to find out how ScienceLogic AI Platform works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 28 scale: '5' date_modified: '2026-07-30' parent_category: name: Monitoring url: https://www.g2.com/categories/monitoring --- # ScienceLogic AI Platform Reviews **Vendor:** ScienceLogic **Category:** [Observability Software](https://www.g2.com/categories/observability-software) **Average Rating:** 4.4/5.0 **Total Reviews:** 28 ## About ScienceLogic AI Platform ScienceLogic delivers a unified, service-centric, AI-powered IT operations platform that transforms reactive IT into intelligent, automated operations, using high-fidelity telemetry data and safe, explainable automation to deliver measurable results. Deployable across on-premises, cloud, and hybrid environments, the ScienceLogic AI Platform consolidates fragmented tools, delivers complete service-aware observability, and empowers engineers to move beyond manual processes with the efficiency of automation and the intelligence of AI. Unlike competitors, ScienceLogic’s platform leverages automation as a true differentiator, providing goal-driven insights, closed-loop remediation, and explainable actions governed by enterprise policies. This reduces MTTR, improves efficiency, and frees teams to focus on innovation, with confidence that every automated action is safe, verifiable, and aligned with business intent. Through seamless integrations, advanced agentic AI capabilities, and a data-rich architecture built on continuous telemetry and discovery, the ScienceLogic AI Platform enables enterprises and managed service providers to manage complex, distributed infrastructures with accuracy, efficiency, and speed. Flexible and extensive, the ScienceLogic AI Platform helps enterprises, MSPs, government agencies, and other organizations scale services reliably, deliver superior customer experiences, and consolidate toolsets with intelligent automation built on trusted data. Recognized as a leader in The Forrester Wave™: AIOps Platforms, Q2 2025, and a visionary in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, ScienceLogic empowers customers to achieve faster service restoration, executive-level visibility, and optimal business outcomes, while advancing toward fully autonomous IT operations. ## ScienceLogic AI Platform Pros & Cons **What users like:** - Users value the **automated root cause detection** of ScienceLogic AI, significantly reducing manual efforts and expediting problem resolution. (5 reviews) - Users value the **unified visibility** and AI-driven analytics of ScienceLogic AI Platform for efficient IT management. (5 reviews) - Users benefit from the **efficiency in monitoring** with ScienceLogic AI, enhancing visibility and reducing downtime. (5 reviews) - Users value the **predictive analytics and visibility** of ScienceLogic AI Platform, enhancing IT operations and reducing downtime. (4 reviews) - Users value the **comprehensive monitoring** capabilities of ScienceLogic AI Platform, enhancing IT management and operational efficiency. (4 reviews) - Users appreciate the **ease of use** of ScienceLogic AI Platform, highlighting its intuitive and flexible interface for monitoring. (4 reviews) - Alerting Systems (3 reviews) - Downtime Reduction (3 reviews) - Insightful Analysis (3 reviews) - Insights (3 reviews) **What users dislike:** - Users face challenges with **noisy alerts and false positives** , which complicate alert management and tuning efforts. (3 reviews) - Users find the **difficult learning curve** of ScienceLogic AI Platform challenging, impacting the overall setup experience. (3 reviews) - Users find the **steep learning curve** of the ScienceLogic AI Platform challenging during initial setup and customization. (3 reviews) - Users find the **steep learning curve** challenging during initial setup, though customization offers long-term benefits. (3 reviews) - Users find the **initial setup complex** , which presents a steep learning curve and complicates deployment and integration. (2 reviews) - Inefficient Alert System (2 reviews) - Users face **integration challenges** with the ScienceLogic AI Platform, complicating deployment and automation execution. (2 reviews) - Users find the **initial setup complex** and experience a steep learning curve with the ScienceLogic AI Platform. (2 reviews) - Alert System (1 reviews) - Compatibility Issues (1 reviews) ## ScienceLogic AI Platform Reviews ### 1. Cuts Through Alert Noise, Gets Us to Root Cause Faster **Rating:** 5.0/5.0 stars **Reviewed by:** Uday T. | Software Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 27, 2026 **What do you like best about ScienceLogic AI Platform?** Honestly, the biggest thing for me is not having to bounce between five different monitoring tabs anymore. Everything — discovery, dashboards, alerts — lives in one place, and once we set up our views the way we wanted, finding what's actually wrong takes way less digging. The UI itself is clean enough that new team members pick it up without much hand-holding. The AI-driven alert correlation is what really sold me though. Before, a single outage would blow up our alert channel with dozens of separate pings for what turned out to be one root cause. Now it groups that stuff together, so we're not chasing symptoms — we go straight to the thing that actually broke. Setup with our existing tools (ITSM + cloud monitoring integrations) wasn't painless, but it wasn't a nightmare either — support stayed with us until integrations were actually working, not just "technically connected." And even as we've added more devices over time, performance hasn't gotten sluggish, which I was honestly worried about going in. Cost-wise, I can't give exact numbers, but the hours we're not spending on manual triage add up fast, and that's the real ROI for us. **What do you dislike about ScienceLogic AI Platform?** The learning curve is real, especially for anyone who isn't already familiar with AIOps platforms. It took our team a few weeks to feel comfortable customizing dashboards and tuning the correlation rules — a lot of the power is there, but it's not always obvious how to get to it without digging through documentation or asking support directly. Initial setup and integration configuration took longer than I expected, particularly getting some of our less common tools talking to it cleanly. It's not plug-and-play if your stack has anything non-standard. Pricing also isn't the most transparent upfront — we had to go back and forth a bit to understand what was included at our tier versus what would cost extra as we scaled up devices/services. Reporting is solid but occasionally rigid — customizing certain report formats to match exactly what leadership wanted took some workarounds rather than being a quick native option. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** The core problem it's solving for us is alert fatigue and slow root-cause identification. Before, when something broke, we'd get flooded with alerts from every downstream system that was affected, and figuring out what actually started the chain took way longer than it should have — usually a mix of Slack threads, manual log digging, and guesswork. With the correlation and AI-driven analysis, we're spending a lot less time in that "what's actually wrong" phase and more time just fixing it. That's translated into faster incident response and fewer late-night escalations for on-call folks, which matters more than people give it credit for. It's also helped us consolidate visibility — instead of having separate teams each staring at their own siloed tool, everyone's looking at roughly the same picture, which cuts down on the "well it looks fine on my end" back-and-forth during incidents. The business impact for us has mostly shown up as reduced downtime and less engineering time burned on triage instead of actual fixes — which, over months, adds up to real savings even if it's hard to put an exact dollar figure on it. ### 2. Pros and Cons of using ScienceLogic Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** February 05, 2025 **What do you like best about ScienceLogic AI Platform?** There are plenty of new things that ScienceLogic AI platform: The first is that it changes its naming convention to a more cleaner Skylar family like Skylar One, Skylar AI, Skylar Automation etc. It helps us to automatically find the root causes of the issues that happens earlier & get the things sorted quickly & off course reduces the manual efforts. Low code or No code environment is one of the best features that the Skylar offers as it helps us to create the Dynamic applications & Powerpacks on the platform based on our customer requirements without even having a lot of knowledge of Programming/coding languages. **What do you dislike about ScienceLogic AI Platform?** Modifications & Customizations in the powerpacks, Dynamic applications still takes more time than expected. The process of Onboarding & decommissioning of devices could be improved further as it is still not as efficient as other platforms provide. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** Out-of-box integration. Auto classification of devices depending on the operation system. Template bases monitoring. Service impact analysis dashboards. Gathers massive amounts of metrics which can be useful when troubleshooting Very customizable and open to modification and low-code additions Support of the product be experts is extremely efficient and professional ### 3. Unified Observability That Cuts Alert Noise and Speeds Root-Cause Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Arunkumar C. | Senior infra developer, Enterprise (> 1000 emp.) **Reviewed Date:** July 22, 2026 **What do you like best about ScienceLogic AI Platform?** What I like most is its unified observability. Instead of using multiple tools, ScienceLogic gives us a single platform to monitor hybrid environments, correlate events, and understand service impact. The AI-driven insights and automation help reduce alert noise, speed up root-cause analysis, and save operational effort **What do you dislike about ScienceLogic AI Platform?** One area I'd like to see improved is bulk onboarding and management of virtual devices, especially for native monitoring. Creating them one by one is time-consuming in large environments. A streamlined bulk creation/import workflow would make deployment much more efficient. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** ScienceLogic helps us solve the challenge of monitoring a complex hybrid IT environment from a single platform. Instead of switching between multiple tools, we get centralized visibility, event correlation, and faster root-cause analysis. This reduces alert fatigue, shortens incident resolution time, and helps us maintain better service availability ### 4. Fantastic tool for Network Monitoring. **Rating:** 4.5/5.0 stars **Reviewed by:** Pradnesh C. | Senior Network Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 25, 2022 **Describe the project or task ScienceLogic AI Platform helped with:** Sciencelogic is deployed in various organizations. Clients like its features and it is quite stable compared to other tools. **What do you like best about ScienceLogic AI Platform?** We've been running ScienceLogic in our environment for about two years now, and honestly it's become something we'd have a hard time replacing. The thing that won us over early was how well it handles hybrid visibility — we have on-prem gear sitting alongside cloud workloads and a handful of legacy systems that other tools just couldn't make sense of. ScienceLogic pulls it all into one place without us having to build a bunch of custom connectors. The automation side has saved our team real hours — we set up workflows that used to require someone to manually babysit tickets, and now they just... run. It's not perfect. The initial setup has a learning curve that will humble you, and tuning alerts to cut down on noise took longer than we expected. But once it's dialed in, the ROI is hard to argue with. The AI features are genuinely useful rather than just a marketing checkbox — root cause analysis in plain language has made a noticeable difference in how fast our junior engineers can triage issues. If you have the patience to implement it properly, it pays off. **What do you dislike about ScienceLogic AI Platform?** We've been on ScienceLogic for going on two years, and while we're not going anywhere, there are things that genuinely frustrate us on a regular basis. Getting new engineers up to speed on it is a project in itself — the learning curve isn't just steep, it's sustained. You don't just struggle the first month and then figure it out; there are layers of complexity that keep revealing themselves well into year two. The alert noise was a real operational headache for us early on, and while we've tuned it down considerably, it took way more effort than it should have. Documentation is another sore spot — when something breaks in an unusual way, the knowledge base often sends you in circles, and you end up on a support call for something you really should've been able to solve yourself. The reporting side has also been underwhelming given how rich the underlying data is; you'd expect stronger out-of-the-box reporting from a platform at this price point. To be clear, we still believe in the platform — the depth is there and the AI features are heading in the right direction. But ScienceLogic sometimes feels like it was built for people who already know ScienceLogic, and that's a gap they need to close. **Recommendations to others considering ScienceLogic AI Platform:** Go for it, one of the best tool available in the market. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** Network end to end visibility, monitoring, threshold management, app monitoring etc. ### 5. Unified Monitoring with Robust Automation **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User **Reviewed Date:** July 24, 2026 **What do you like best about ScienceLogic AI Platform?** I like the unified monitoring capabilities of ScienceLogic AI Platform because it gives us a single view of our entire infrastructure, including servers, databases, cloud, and network devices. This reduces the need to switch between multiple tools and helps us maintain the tool more effectively. I also appreciate the automation capabilities, which reduce manual effort by automating monitoring tasks and event management. ScienceLogic provides actionable alerts and insights, which help our team troubleshoot problems quickly. **What do you dislike about ScienceLogic AI Platform?** I find the user interface complex for new users. Improved customization options, simple navigation, and more built-in automation templates would further enhance the user experience. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** I use ScienceLogic AI Platform to monitor environments, automate alerting, and manage incidents, which helps us troubleshoot faster and ensure service availability. The unified monitoring reduces tool-switching, and automation cuts manual effort, integrating with ITSM tools to centralize monitoring and automate incident management. ### 6. Easy to Use, Easy to Integrate—Great SyncPacks and PowerPacks **Rating:** 5.0/5.0 stars **Reviewed by:** reshma k. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 25, 2026 **What do you like best about ScienceLogic AI Platform?** ScienceLogic supports other integrations as well, and those integrations are included as part of ScienceLogic SyncPacks and PowerPacks. **What do you dislike about ScienceLogic AI Platform?** I don’t have any complaints about it. It’s easy to integrate and straightforward to use. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** It has built-in power packs to monitor different types of infrastructure, such as Windows, Linux, and networking. It also introduces low-code automations, which makes it easier to set up and manage workflows. ### 7. Unified Hybrid Cloud Visibility with Fast Root Cause Analysis and Automated Remediation **Rating:** 5.0/5.0 stars **Reviewed by:** Chethan N. | Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** July 22, 2026 **What do you like best about ScienceLogic AI Platform?** The ScienceLogic AI Platform unifies hybrid cloud visibility, leverages machine learning for rapid root cause analysis, and automates remediation. Integrating seamlessly with ITSM systems like ServiceNow, it eliminates alert noise, updates CMDBs, and reduces MTTR. **What do you dislike about ScienceLogic AI Platform?** The ScienceLogic AI Platform faces criticism for a steep learning curve, complex configuration, and dated UI reporting. Initial setups often suffer from excessive alert noise, demanding significant manual tuning to reach smooth, optimal operational efficiency. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** ScienceLogic resolves IT complexity, data silos, and alert fatigue by automating root-cause analysis and CMDB updates. This benefits me by enabling faster, context-aware troubleshooting and seamless tool integrations with platforms like ServiceNow. ### 8. Proactive Monitoring with Robust Integration **Rating:** 4.0/5.0 stars **Reviewed by:** shahed w. | Team Leader Operations **Reviewed Date:** February 03, 2026 **What do you like best about ScienceLogic AI Platform?** I appreciate ScienceLogic AI Platform for its proactive monitoring and alerting, which helps reduce business impact by notifying issues prior to them becoming critical. I find it to be one of the best monitoring tools I’ve ever used, having relied on it for the past four years. The platform is quite flexible and customizable, allowing us to tweak dynamic applications based on our alerting needs. Its new AI platform is pretty cool, and the analytics feature is very good. I also value its capability for integration, making it a master in this area. **What do you dislike about ScienceLogic AI Platform?** The noisy alerts are a bit of a pain. The collectors lose their cache and result in false positives. The FIFO system of other collectors taking over when there is an issue on an existing collector is a bit slow. That needs to be tweaked to address this. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** I use ScienceLogic AI Platform for proactive monitoring and alerting, reducing business impact by notifying us of issues beforehand. It integrates well, unlike our previous tool SCOM, and helps our infrastructure team with customizable alerts based on thresholds. ### 9. Effortless Automation Reduces Manual Efforts **Rating:** 5.0/5.0 stars **Reviewed by:** Ragha V. | Security Operational Center Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** July 22, 2026 **What do you like best about ScienceLogic AI Platform?** I really appreciate the automations associated with ScienceLogic AI Platform, as they help reduce the manual efforts in the system. The initial setup is also very easy, which is a big plus for me. **What do you dislike about ScienceLogic AI Platform?** Nothing to dislike **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** I use ScienceLogic AI Platform for daily monitoring, and its automations help reduce manual efforts in the system. ### 10. Standout Predictive AI and Anomaly Detection **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** July 22, 2026 **What do you like best about ScienceLogic AI Platform?** Its predictive AI and anomaly detection features really stand out from the rest. **What do you dislike about ScienceLogic AI Platform?** Not all customer requirements are the same, and the push to use only OOTB is a detractor. A more science- and logic-driven approach should support customization where it’s needed. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** Because it goes beyond traditional monitoring and observability, it helps solve the problem of unwanted noise while enabling more accurate predictions and anomaly detection. ### 11. Powerful Unified Visibility with Advanced Analytics, But Steep Learning Curve **Rating:** 4.0/5.0 stars **Reviewed by:** Lokesha K. | Lead - platform and automation, Mid-Market (51-1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about ScienceLogic AI Platform?** Unified visibility is provided across hybrid, cloud, and on-premise environments. Skylar AI offers predictive analytics, anomaly detection, and root cause analysis. **What do you dislike about ScienceLogic AI Platform?** The initial setup comes with a steep learning curve, and I have also encountered some issues with alert tuning, including occasional false positives. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** ScienceLogic offers an AIOPS platform that uses machine learning-driven insights and automation to enhance event noise reduction. ### 12. Comprehensive Infrastructure Monitoring and Automation software platform **Rating:** 5.0/5.0 stars **Reviewed by:** Nicolai K. | Senior Automation Architect, Enterprise (> 1000 emp.) **Reviewed Date:** February 07, 2025 **What do you like best about ScienceLogic AI Platform?** ScienceLogic SL1 offers a comprehensive monitoring solution that provides visibility across servers, networks, and applications, making it easier to manage complex IT environments. Its AI-driven automation helps detect and resolve issues proactively, reducing downtime and improving operational efficiency. Additionally, the customizable dashboards allow users to tailor views to their specific needs, enhancing usability and data presentation. These features make SL1 a powerful tool for IT operations management. Customer support is comprehensive and reliable, providing quick responses to critical issues. The PowerFlow integration framework simplifies connectivity with external systems, such as ServiceNow. **What do you dislike about ScienceLogic AI Platform?** ScienceLogic SL1 has a steep learning curve, as the system is highly customizable. This is however also one of it's major strengths and well worth the effort of getting accustomed to. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** Problems addressed: IT Visibility Gaps – SL1 provides end-to-end monitoring across cloud, hybrid, and on-prem environments, ensuring complete visibility. Manual Incident Management – AI-driven automation detects and resolves issues proactively, reducing downtime. Slow Root Cause Analysis – Advanced analytics quickly identify the source of IT problems, accelerating troubleshooting. Integration Challenges – The PowerFlow framework simplifies integration with third-party tools like ServiceNow, streamlining workflows. ### 13. A Highly Customizable Monitoring Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Joe A. | Senior IT Engineer: Monitoring & Virtualization , Mid-Market (51-1000 emp.) **Reviewed Date:** February 07, 2025 **What do you like best about ScienceLogic AI Platform?** The ScienceLogic Platform is a very large, complex piece of Software, Like any platform it does have its Pros and cons. It can monitor a wide variety of devices and has done our company very well for the last 5 years. The platform can be moulded or manipulated to be very flexible with "Run Book" Automations, and you can get the platform to perform a Plethora of tasks, but you do need Python skills to be able to write snippets of code you require. For normal device monitoring like Windows, Linux, Fortigate Devices etc... this patform does do a very good job of monitoring what is required and you can also add additional "Dynamic Apps" to monitor other metrics that can be pulled from said device. All in all - ScienceLogic is a very customizable platform and I would say is one of the Top monitoring Solutions for Business use. The platform can be easily used by NOC operators for daily use puposes, but can be quite complex for Admin use. Customer Support is very good, I normally get a response from any issues i may have logged on the portal the very same day. **What do you dislike about ScienceLogic AI Platform?** There are certain "Out of the Box" automations which are lacking, for example... there is currently no way to just ignore high CPU alerts during a specific period without putting the entire device into maintenance mode. This has been requested a few times and has a good communtiy backing for being an "Out Of The Box" solution. I am currently waiting on feedback from SL Engineering to get this implemented as this would be highly beneficial for Event reduction in our environment. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** The amount of daily events being generated is reducing due to the "predictive" algorithms. ### 14. Amazing experience **Rating:** 4.0/5.0 stars **Reviewed by:** Priyanshu C. | Software developer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 20, 2025 **What do you like best about ScienceLogic AI Platform?** It’s help me with the knowledge gaining. **What do you dislike about ScienceLogic AI Platform?** If UI can be enhanced it will make more user interactive **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** It help me for documentation of my product using network monitoring logs ### 15. Science ai logic **Rating:** 2.0/5.0 stars **Reviewed by:** khalid s. | Flutter developer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 19, 2025 **What do you like best about ScienceLogic AI Platform?** We don't needed to try formulas results verification manually **What do you dislike about ScienceLogic AI Platform?** It's results are ai generated so might be wrong but we use **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** This helps to overcome and calculate the exact cost ### 16. Best platform for infrastructure obsevability **Rating:** 4.5/5.0 stars **Reviewed by:** Lokesha K. | Lead Consultant, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** January 02, 2025 **What do you like best about ScienceLogic AI Platform?** ScienceLogic SL1 is a best infrastructure observability platform, comes with AIOPS features. Gathers massive amout of metrics which will be very useful during troubleshooting. It has the ability to discover and map out of every component is very powerful and critical in speedy RCA determination. **What do you dislike about ScienceLogic AI Platform?** ScienceLogic SL1 collector comes with VM image but it doesn't support for company standard vulnerability. Collector Deployment and integration is little bit complex. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** We have enabled all 3 major public cloud monitoring, database monitoring, process/service monitoring and enabled key metrics for our internal servers hosted in public cloud. Integrated with service-now for incident creation for all alerts created in SL1 . ### 17. Review ScienceLogic AI **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** June 20, 2025 **What do you like best about ScienceLogic AI Platform?** The best thing is the SL1 service they provide. Also, they make the monitoring process and diagnosing issue faster **What do you dislike about ScienceLogic AI Platform?** As such their service meets expectations, but the initial setup is a complex part and learning to work on it is steep curve. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** It helps us to monitor the applications server, and figure out issue and diagnoss them. ### 18. Review for software **Rating:** 3.5/5.0 stars **Reviewed by:** Ali A. | Digital Marketing Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** June 11, 2025 **What do you like best about ScienceLogic AI Platform?** clean and easy to use software with no confusing content **What do you dislike about ScienceLogic AI Platform?** perhaps use good UI/UX desgin for better customer experiance **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** handling cloud operations ### 19. SL1 User Review **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Networking | Enterprise (> 1000 emp.) **Reviewed Date:** February 05, 2025 **What do you like best about ScienceLogic AI Platform?** The broad range of supported technologies **What do you dislike about ScienceLogic AI Platform?** SL1 doesn't scale up good enough in large environments **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** It provides an all-in-one NMS solution that can support a broad range of technologies. ### 20. One of the best AI based monitoring and IT Operations management tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** August 31, 2021 **What do you like best about ScienceLogic AI Platform?** It is easy to monitor all organizational IT assets with real-time monitoring data and Simplified UI components of Science logic or SL1 platform. It collects SNMP data from a wide range of IT components and renders the results in a consistent and organized manner. **What do you dislike about ScienceLogic AI Platform?** There is latency in the state of an IT asset and its status in ScienceLogic due to its dependency on SNMP, which has the design flaw of being slow when it comes to the state change of an IT asset. Due to the AIOps philosophy of the ScienceLogic platform, false positives are encountered frequently, resulting in false alarms. **Recommendations to others considering ScienceLogic AI Platform:** It is a next-generation tool to manage IT assets due to its dependence on huge data collections along with the support of machine learning and artificial intelligence, and this will lead to simplification of managing and monitoring the different devices from a broad vendor base more efficient. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** Monitoring Enterprise networks ### 21. one of the Emerging AI based IT management and monitoring tool **Rating:** 5.0/5.0 stars **Reviewed by:** Mohammad I. | Network Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 10, 2021 **Describe the project or task ScienceLogic AI Platform helped with:** It helps me in managing and monitoring a large and diverse set of IT assets with minimalistic effort. **What do you like best about ScienceLogic AI Platform?** It is user-friendly with a primary focus on simplifying IT asset management and streamlining this process by applying state-of-the-art technologies like ML, AI, and big data. **What do you dislike about ScienceLogic AI Platform?** More work should be done on the backend, like with AI and ML algorithms predicting events to eliminate noise or false positives. **Recommendations to others considering ScienceLogic AI Platform:** It is a new tool that applies new techniques and approaches to IT and network management from a big data view; thus, every company that recognizes the power of these techniques should adopt the Science Logic platform for a long-term vision. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** We are Monitoring network elements like switches and routers. ### 22. Using ScienceLogic SL1 Platform at Enterprise Scale **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** May 16, 2020 **What do you like best about ScienceLogic AI Platform?** The SL1 PowerPack model allows the loading of specific monitoring capability for specific technologies and yet still leverage standard UI and performance graphs. The open development model to support custom monitoring construction where the basic and extended platforms don't currently reach is a huge win for us. The floor-to-ceiling organizational security model works great for managed service providers. It is slightly more cumbersome when dealing with enterprise scale organizations on a stack. (We hope to see a solution to this in coming releases.) The willingness to work with a customer and ensure customer-success, not just vendor-success is important for us. Case in point is our Enterprise Change Management problems where we have hundreds of organizations attempting to do schedule Change Requests (Maintenance Windows) across multiple stacks but also sometimes against the same Configuration Item (CI) at overlapping times. This was identified as a problem and fixed for devices and scheduled for full resolution in the next release. **What do you dislike about ScienceLogic AI Platform?** As an enterprise use case customer, the limited / current model for allowing non-team any rights at all is a pain point. This is being addressed in a future release and we are engaged in beta testing to ensure it meets our needs. ScienceLogic, as an organization, has two modes of thinking. (1) ScienceLogic SL1 Platform is the top of the data hierarchy; (2) Your CMDB can be populated by the ScienceLogic SL1 Platform. This leads to thinking of your stack as "precious". Our model, where ServiceNow / CMDB flows configuration data down to each of our 8 production ScienceLogic SL1 Platform stacks around the world allows us to think of each stack as "cattle". This allows our resiliency strategy to be clearer and less reliant on a single point of failure. The pain point with the organizational model of thinking shows up in technical decisions where the stack is considered to be a singleton. This exhibits as "there can be only one" in various technical conversations. We're making it work, but we're having to put effort into maintaining our data hierarchy / model. **Recommendations to others considering ScienceLogic AI Platform:** At the Enterprise Use Case level, know what you need to accomplish, verify that you can do the integration, build your integrations where necessary as bolt-ons until you can build them in-platform. Consider keeping your CMDB superior to the ScienceLogic SL1 Platform so that you can scale horizontally (either by region or by customer or by organization). Request customer-consults from ScienceLogic. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** Ability to track new technology monitoring (which had been a demonstrated inability in our homegrown system). Ability to keep up with teams that are racing to new technologies as they come to us and request monitoring support for those technologies. A fundamental shift away from dashboard-only / observational outage reaction to event-based, runbook automation capable support (which does feed our central ops dashboards but which do far more than in the previous implementation). We are now testing new capabilities in our global / regional monitoring that used to require homegrown / custom coding and had never reached a level of trust to even be considered in our legacy platform. We are in very early stages evaluating the AIOps capabilities and looking at a +1y time horizon. ### 23. An IT monitoring platform that simplifies data and offers numberless features. **Rating:** 5.0/5.0 stars **Reviewed by:** Frederick A. | Director - Head of Talent & Development, Enterprise (> 1000 emp.) **Reviewed Date:** January 11, 2021 **What do you like best about ScienceLogic AI Platform?** ScienceLogic SL1 Platform is really an ideal software for email, server, cpu monitoring. ScienceLogic SL1 Platform is an all in one platform to monitor every kind of technology. By using this so far I monitor tools, servers, networks cpu and many more. With the help of customisable interface things do not remain confusing and it offers simple and convenient ways to make dashboards. Their good customer service helped me a lot in learning phase because they are available 24/7. This single platform can replace a lot of monitoring tools. By using it, any glitch in the network becomes easy to detect and can be removed. It simplifies data network and network monitoring. After using it for time I realised that it improved my work speed for better and provided efficiency. **What do you dislike about ScienceLogic AI Platform?** The main issue I have with ScienceLogic SL1 Platform is the price for its working and features the price is too high. The interface is overcrowded and was difficult to use at start. There are a lot of unnecessary options that need to be removed. The modules are also expensive and documentation is difficult to follow. The UI contains too many elements that are not needed. If some options are removed from the UI it will make the place look simplified. Overall it takes sometime to get adjusted to its design. The support team is also a bit slow in answering to questions. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** ScienceLogic SL1 Platform is an expensive software but due to its large number of advantages it is recommended. I have been using it for sometime and it works absolutely fine. Its pros outweigh the cons so I recommend everyone to try it out themselves. ### 24. Some amazing capabilities in the new SL1 architecture **Rating:** 5.0/5.0 stars **Reviewed by:** Dan B. | Senior Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 29, 2020 **What do you like best about ScienceLogic AI Platform?** Not only does it discover and monitoring 1000s of COTs devices, but it's very easy to build your own via SNMP/API/XML/Webhooks/Emails. The platform can also provide AIML to detect anomalous conditions, even using custom/proprietary metrics. (To name two of the big features) **What do you dislike about ScienceLogic AI Platform?** Being a current customer, the new user interface will take some time to adjust to. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** Building new applications to monitor new platforms devices is very well documented, and the UI provides guides. Since most of our monitored systems are proprietary we had to build all the monitoring, for the most part, without needing programming skills. Using Python functions such as prior(), sum(), round() to name a few you can make complex alarm calculations to use multiple metrics in creating a more actionable and accurate alarm. We use this to see if devices are primary/secondary, or if there is a cluster of devices that have failed over. We have 1000s of events and only a few questions a week about there accuracy. We have reduced our alarm generation by more than half over an approximately 2 year period. ### 25. Infrastructure monitoring tool with modrate stability **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** October 01, 2020 **What do you like best about ScienceLogic AI Platform?** The tool is created with lots of new aspects however,Quite easy to deploy with various approches available in market **What do you dislike about ScienceLogic AI Platform?** It still need alot of time to be stable and mature. Tool itself is still in bug discovery mode. Documentation is avarage and support team is really slow. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** It provides vast varities of agentless deployment for monitoring the infrastructure. It is able to monitor almost every recognised technology in use. ### 26. The mother of all monitoring software. **Rating:** 4.5/5.0 stars **Reviewed by:** Jeffrey W. | Data Center Technician , Hospital & Health Care, Mid-Market (51-1000 emp.) **Reviewed Date:** April 10, 2019 **What do you like best about ScienceLogic AI Platform?** Sciencelogic stole my heart with it's endless customization and alerts. **What do you dislike about ScienceLogic AI Platform?** It was way too expensive to warrant keeping the software. **Recommendations to others considering ScienceLogic AI Platform:** Give it a serious shot and just don't look at the pricing until you've realized how amazing this piece of software can be. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** Using it to help us out with managed services work, remote alerts for a large client. We have recently switched to an inferior product and it made me realize how great this software really was. ### 27. Great tool from creating Dashboards **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** November 18, 2018 **What do you like best about ScienceLogic AI Platform?** This tool can replace many monitoring tools in a company. Easy to create dashboards from scratch. Quick to deploy on AWS **What do you dislike about ScienceLogic AI Platform?** Too many Ui elements. Could get overwhelming at times. The interface is really busy and it's hard to remember where was a particular option that i used in past. Documentation is hard to follow and read on line. **Recommendations to others considering ScienceLogic AI Platform:** UI needs to be more consistent. Some of the button options could be removed which are used rarely. This will help the tool to look less crowded and simpler to use. **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** We are monitoring servers and networks windows and linux with Science Logic. Any network blip or glitch becomes easier to be found and fixed. Using power packs options it becomes easy to leverage enhancements across multiple customers. ### 28. good monitoring software **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2018 **What do you like best about ScienceLogic AI Platform?** lots of add-ins available. Good customer service **What do you dislike about ScienceLogic AI Platform?** The additional modules can be kind of expensive **What problems is ScienceLogic AI Platform solving and how is that benefiting you?** use for monitoring tool ## ScienceLogic AI Platform Discussions - [What is infrastructure monitoring?](https://www.g2.com/discussions/what-is-infrastructure-monitoring) - [What is ScienceLogic used for?](https://www.g2.com/discussions/what-is-sciencelogic-used-for) - [What is ScienceLogic EM7?](https://www.g2.com/discussions/what-is-sciencelogic-em7) - [What is SL1 in ScienceLogic?](https://www.g2.com/discussions/what-is-sl1-in-sciencelogic) - [What is SL1 platform?](https://www.g2.com/discussions/what-is-sl1-platform) - [View ScienceLogic AI Platform pricing details and edition comparison](https://www.g2.com/products/sciencelogic-ai-platform/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-30+17%3A05%3A52+-0500&secure%5Bsession_id%5D=8d173f30-4e25-4609-bab9-4b364065a566&secure%5Btoken%5D=42e97bd48af16082afabd14bc9dce47e78ffba857c5b6e398743609d717fa894&format=llm_user) ## ScienceLogic AI Platform Integrations - [BMC Helix ITSM](https://www.g2.com/products/bmc-software-bmc-helix-itsm/reviews) - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews) ## ScienceLogic AI Platform Features **Functionality** - Performance Monitoring - Alerting - Improvement Suggestions - Multi-Network Capability **Monitoring** - Usage Monitoring - Database Monitoring - API Monitoring - Real-Time Monitoring - Cloud Infrastructure Monitoring - Security and Compliance Monitoring **Functionality** - Artificial Intelligence - Machine Learning - Systems Monitoring **Monitoring - Network Monitoring** - 360-Degree Network Visibility - Automated Network Discovery - Real-Time Monitoring **Telemetry Collection & Ingestion - Observability** - Multi-Telemetry Ingestion - OpenTelemetry Support **Agentic AI - Observability Software** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Management** - Performance Baseline - Data Visualization - Path Analysis **Administration** - Multi-Cloud Management - Automation - Auto-Scaling & Resource Optimization **Issue Resolution** - Root Cause Identification - Proactive Identification - Resolution Guidance **Analytics - Network Monitoring** - Predictive Performance Analytics - Packet & Flow Analysis **Visualization & Dashboards - Observability** - Service Dependency Mapping - Unified Dashboard - Trace Visualization **Analysis** - Reporting - Dashboards and Visualizations - Spend Forecasting and Optimization **Management** - System Integration - Alerting - Reporting **Security - Network Monitoring** - Encrypted Data Transmission - Zero Trust and Identity Management - Integrated Network Security **Correlation & Root Cause Analysis - Observability** - Cross-Telemetry Correlation - Root Cause Detection - Intelligent Alerting **Generative AI** - AI Text Generation - AI Text Summarization **Network Performance - Network Monitoring** - Dynamic Network Optimization - Automated Tasks Routing **Scalability & Ecosystem Integration - Observability** - Kubernetes Monitoring - Hybrid/Multi-Cloud Support **Agentic AI - Cloud Infrastructure Monitoring** - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **AI Automation - Network Monitoring** - Machine Learning-Based Anomaly Detection - Self-Healing Networks - Predictive Network Maintenance **AI Features - Observability** - Predictive Insights - AI-Generated Incident Summaries - AI Anomaly Detection **Agentic AI - AIOps Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **AI Automation - Cloud Infrastructure Monitoring** - AI-Powered Anomaly Detection - AI-Driven Insight Recommendations **Agentic AI - Network Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top ScienceLogic AI Platform Alternatives - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - 4.5/5.0 (1,234 reviews) - [LogicMonitor](https://www.g2.com/products/logicmonitor/reviews) - 4.5/5.0 (587 reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (715 reviews)