ScienceLogic and Sumo Logic Observability are two major players in the observability market. Sumo Logic Observability has the upper hand due to its comprehensive features and perceived overall value.
Features: ScienceLogic users value its extensive monitoring capabilities, integration flexibility, and superior customer support. Sumo Logic Observability users appreciate its robust analytics, real-time visibility, and sophisticated feature set.
Room for Improvement: ScienceLogic needs enhancements in documentation, user training, and better customization options. Sumo Logic Observability requires better customization options, simpler onboarding processes, and improvements in user education.
Ease of Deployment and Customer Service: ScienceLogic reviews indicate a smoother deployment process with better initial setup support. Sumo Logic Observability users report a more challenging deployment but commend its responsive customer service.
Pricing and ROI: ScienceLogic users find the setup costs reasonable and experience a high ROI. Sumo Logic Observability is valued for its advanced features despite higher costs, although ROI feedback is mixed.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
We have a lab environment to test solutions before offering them to customers, ensuring everything works correctly.
I received excellent support from ScienceLogic.
Problems with Skylar may require longer wait times due to limited resource expertise.
The stability rating is nine out of ten, acknowledging some bugs, but indicating these are minor issues.
If the knowledge for implementation could be spread through articles, it would reduce this dependency.
While some other companies have easier APIs, using this solution demands significant expertise.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
ScienceLogic is not that expensive and is cost-effective overall.
It could be cheaper.
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.
Product | Market Share (%) |
---|---|
ScienceLogic | 2.0% |
Sumo Logic Observability | 0.3% |
Other | 97.7% |
Company Size | Count |
---|---|
Small Business | 13 |
Midsize Enterprise | 11 |
Large Enterprise | 24 |
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.
Sumo Logic Observability offers advanced monitoring solutions with features like integrated dashboards and querying capabilities, though presents a learning curve compared to alternatives. Designed for efficient log aggregation and analysis, it provides near-real-time updates facilitating improved incident resolution.
Sumo Logic Observability stands out with its ability to unify teams through a single platform, offering features that include customizable dashboards and valuable apps. It provides powerful log tracing and centralized management, designed for organizations focused on log aggregation, analysis, and expanding SIEM capabilities. While it has a steeper learning curve compared to some competitors, it excels in tailored integrations that enhance log searches. Users find themselves able to monitor, automate, and centralize log repositories for effective debugging. Despite its strengths, improvements in data enrichment and documentation organization are needed as current query functions can be slow, impacting efficiency. Users have also mentioned needing pre-built dashboards and better tab management for enhanced functionality. Cost management remains a notable consideration for users evaluating Sumo Logic Observability.
What features make Sumo Logic Observability effective?Sumo Logic Observability is implemented across industries predominantly for managing and analyzing extensive data sets, offering capabilities critical for SIEM activities and security examinations. By facilitating quick data visualization and transaction tracking, organizations in sectors such as finance, healthcare, and technology benefit from its robust framework to support infrastructure logging and large-scale data management, contributing to effective monitoring and system operations.
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