Spiceworks and Elastic Observability compete in the IT management and observability sector. Elastic Observability has the upper hand due to its advanced analytics and comprehensive logging features, which provide enterprises with detailed insights.
Features: Spiceworks combines inventory management with help desk functionalities, offering tools for basic reporting, compliance tracking, and remote monitoring. Community support adds value to its offerings. Elastic Observability integrates logging, metrics, and APM capabilities, featuring comprehensive logging, machine learning integration, and customization for deep data analysis.
Room for Improvement: Spiceworks needs to address scalability, enhance ticketing features, and improve integration capabilities. Network inventory issues and basic monitoring also require attention. Elastic Observability should focus on enhancing visualization, metrics control, and automating processes to compete effectively with other APM tools. Improving ease of use and reducing manual setup for certain features would also be beneficial.
Ease of Deployment and Customer Service: Spiceworks is an on-premises tool with easy deployment but limited scalability in larger settings. Its customer support is largely community-driven, providing valuable assistance for free. Elastic Observability offers flexible deployment options, including cloud and hybrid solutions, and its structured support and comprehensive documentation earn high satisfaction ratings.
Pricing and ROI: Spiceworks is cost-effective, being free with minimal setup costs, making it appealing for SMBs. Elastic Observability offers competitive pricing relative to data volume and infrastructure, providing a comprehensive toolset with a favorable price-performance ratio for enterprises.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
One example is the inability to monitor very old databases with the newest version.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
Additionally, it is free software.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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