

ScienceLogic and ThousandEyes compete in the IT monitoring and network analysis category. ScienceLogic seems to have the upper hand in comprehensive infrastructure monitoring and customer support, while ThousandEyes excels in network-specific insights and in-depth monitoring capabilities.
Features: ScienceLogic offers customizable dashboards, multi-tenant environments, and dynamic applications for specific needs. Its integration capabilities and built-in monitoring templates are valuable for reducing false alarms. ThousandEyes provides in-depth network monitoring, application visibility, and robust integration with cloud providers and ISPs, making it ideal for network insights.
Room for Improvement: ScienceLogic's complexity in reporting and usability needs refinement, alongside better support for integrations. Users find the UI overwhelming and require more intuitive actions. ThousandEyes could improve its customization and expand application-level monitoring. Dashboard features and integration improvements are also suggested.
Ease of Deployment and Customer Service: ScienceLogic supports on-premises deployment options, offering flexibility in infrastructure needs. It receives high ratings for customer service and technical support. ThousandEyes provides hybrid cloud deployment models with good feedback for its technical team, though support levels are more variable compared to ScienceLogic.
Pricing and ROI: ScienceLogic pricing depends on device count and tier, scalability can lead to higher setup costs but offers comprehensive features. ROI is favorable due to downtime reduction and monitoring efficiency. ThousandEyes is mid-range in pricing, recognized for its network monitoring capabilities, offering ROI in troubleshooting efficiencies and enhancing performance visibility.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
There has been a great ROI from using ThousandEyes, with significant time saved in troubleshooting as I can quickly pinpoint issues rather than spending time isolating them, alongside enhancing customer feedback and experience.
I have seen a return on investment by reducing troubleshooting time and having lesser user mapping error issues, in addition to engineering time saved through better observability and reduced organizational MTTR.
Problems with Skylar may require longer wait times due to limited resource expertise.
I received excellent support from ScienceLogic.
We have a lab environment to test solutions before offering them to customers, ensuring everything works correctly.
We contacted the support team, and they resolved it within a couple of hours.
The customer support for ThousandEyes is very proactive and supportive.
Scalability with ThousandEyes is straightforward as you don't really need to scale; it's designed to monitor multiple applications, accommodating 50 or 100 applications simultaneously.
ThousandEyes's scalability is excellent; it is very scalable and grows with my organization's needs.
Stability should relate to whether the platform fails, stops working, or breaks.
From my experience, ThousandEyes has been stable up to 95%; I have not seen any stability issues.
ThousandEyes is not very stable; sometimes you have to reboot the servers to get actual results.
While some other companies have easier APIs, using this solution demands significant expertise.
If the knowledge for implementation could be spread through articles, it would reduce this dependency.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
Incidents should be alerted on and traced early, before they escalate to full outages.
Having a dedicated incident alert system for URL alerts would help manage noise and streamline operations, especially during patch upgrades.
An area where ThousandEyes can be improved is in providing more in-depth packet analysis; we've found instances where ThousandEyes indicates everything is okay, but it's actually not.
It could be cheaper.
ScienceLogic is not that expensive and is cost-effective overall.
My experience with pricing, setup cost, and licensing has been that everything was cost-effective.
My experience with pricing, setup cost, and licensing is that it comes in cheaper than alternatives.
Notably, its automation features, such as Runbook action, enable domain experts like me to execute one-click automation solutions, which contributes significantly to reducing MTTR.
The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring.
The CMDB update and the automatic CMDB update are valuable.
I measure the 70% improvement in customer experience through customer tickets and feedback after resolving issues, where previously, users faced problems and limited time on the platform, and after using ThousandEyes, the user time reached up to five to six hours a day, even for teams possibly totaling 30 hours a day.
ThousandEyes offers the best features including global internet and cloud visibility from distributed vantage points, application and network performance monitoring, real-time outage detection and incident alerts, end-to-end path visualization for rapid troubleshooting, proactive issue demarcation, and historical data.
ThousandEyes has become critical for swift network troubleshooting as well, so anytime that there's potential issues with applications or we want to be proactive in resolving potential issues before they arise, ThousandEyes is really the platform that we're leveraging for WAN monitoring, Wi-Fi, latency, packet loss, etc.
| Product | Market Share (%) |
|---|---|
| ThousandEyes | 2.0% |
| ScienceLogic | 1.3% |
| Other | 96.7% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 11 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 16 |
ScienceLogic excels in customizable dashboards, seamless integrations, and real-time data analysis, supporting diverse IT environments with multi-tenant capabilities.
ScienceLogic provides robust infrastructure and network monitoring, catering to cloud, applications, and server environments. It supports hybrid setups, integrating with CMDB and ticketing systems while automating incident management. ScienceLogic's PowerPacks eliminate visibility gaps and its adaptable nature supports modern and legacy systems. Offering agentless monitoring, it ensures efficient operations with scalable infrastructure support and detailed reporting. However, the interface complexity and need for professional support can present usability challenges. Enhancements in reporting, application coverage, API support, and customization are desirable for improved user experience.
What are ScienceLogic's most important features?ScienceLogic is often implemented across industries requiring detailed attention to infrastructure and network monitoring. It finds utility in managing hybrid environments, integrating seamlessly with essential systems like CMDB and ticketing platforms. Its scalability and adaptability are valued in unifying complex, diverse environments under one monitoring platform.
ThousandEyes is a Network Intelligence platform that delivers visibility into every network an organization relies on, whether public or private. ThousandEyes enables users to optimize application delivery, end-user experience and ongoing infrastructure investments.
With cloud, enterprises can innovate much faster, but the growing number of cloud and SaaS applications means that more apps are being delivered over the Internet. This increases dependence on the Internet, a public “best effort” network, and other third-party infrastructures, substantially reducing the ability of IT teams to predict, visualize and control operational behavior. This results in a chaotic and unmanageable IT environment, making issue resolution a time-consuming ordeal, potentially impacting reputation and revenue. ThousandEyes has innovated an approach based on an unmatched distribution of smart agents across the Internet and enterprise, providing visibility all the way to the end user. ThousandEyes gathers and analyzes massive volumes of Network Intelligence data from all of these vantage points, enabling organizations to solve even their most obscure performance problems in minutes. By using ThousandEyes in the planning and testing phases of cloud adoption, customers can also strategically identify and fix underlying problems before production deployment of business-critical applications.
The ThousandEyes solution is ubiquitous across industry sectors, and since launching in mid-2013, customers have come from a diverse set of industry sectors, which include Silicon Valley technology companies, financial services, healthcare, pharmaceuticals, retail, manufacturing and education.
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