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 support really struggles in complex situations to resolve issues.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability would be easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
What is not scalable for us is not on Elastic's side.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
This is a part of the hidden cost that the customer understands.
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.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 2.9% |
| Spiceworks | 0.4% |
| Other | 96.7% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 14 |
| Large Enterprise | 10 |
Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.
Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.
What are the most important features of Elastic Observability?Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.
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