Apica and Elastic Observability offer robust solutions in monitoring and observability. Elastic Observability appears to have the upper hand with superior features and overall value justifying higher pricing.
Features: Users value Apica for reliable synthetic monitoring, easy integration, and straightforward deployment. Elastic Observability is recognized for comprehensive data analysis, flexible dashboarding, and advanced features.
Room for Improvement: Apica could improve UI customization, alerting parameters, and log management usability. Elastic Observability needs better log management, enhanced documentation, and a more streamlined setup process.
Ease of Deployment and Customer Service: Apica is noted for easy deployment and highly responsive support. Elastic Observability, while powerful in deployment options, is reported to have a complex setup but is balanced by its strong feature set.
Pricing and ROI: Apica is seen as cost-effective with good ROI. Elastic Observability, though pricier, provides better returns due to its extensive capabilities.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
APICa is scalable.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
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.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
When editing scripts, only one can be accessed at a time, risking changes affecting other folders.
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.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
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.
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.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
It is useful for both performance and automation testing, facilitating access to headers and payloads easily, enhancing scripts with dynamic values.
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.
| Product | Market Share (%) |
|---|---|
| Elastic Observability | 2.6% |
| Apica | 0.6% |
| Other | 96.8% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
Apica leads in observability cost optimization, empowering IT teams to manage telemetry data economics efficiently. It supports various data types, reducing costs by 40% with flexible deployment options and eliminating tool sprawl through modular solutions.
Apica Ascent optimizes observability costs across metrics, logs, traces, and events and provides adaptability beyond proprietary formats. Its patented InstaStore™ technology ensures maximum storage efficiency and advanced root cause analysis. Organizations leverage Apica for comprehensive control over observability investments, reducing runaway costs. With solutions for mitigating high-cardinality data challenges, Apica supports any data lake preference and offers cloud or on-premises deployments. Its modular solutions eliminate unnecessary tool redundancies, enhancing economic efficiency in telemetry data management.
What features define Apica's capabilities?Apica addresses industry needs in monitoring and testing applications, enhancing user experience across sectors. It is instrumental in synthetic checks, load testing, API monitoring, and validating functionalities for stability in gaming, finance, eCommerce, and banking platforms. Apica's versatility supports both on-premises and cloud environments, ensuring accurate insights into service availability and network performance.
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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