Elastic Observability vs. Selector Analytics
| Product | Rating | Most Used By | Product Summary | Starting Price |
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Elastic Observability | Score9 out of 10 | N/A | Elastic Observability, from Elastic, the makers of Elasticsearch, is a solution that aims to bring logs, metrics, and APM based on the former Opbeat (acquired by Elastic in 2017) traces together at scale in a single stack so users can monitor and react to events happening anywhere in an IT environment. It's free and open to start, and adds the Logs, Metrics, APM (formerly Opbeat), and Uptime modules to the Elastic (ELK) Stack. | N/A |
Selector Analytics | Score7 out of 10 | N/A | Selector employs machine learning and NLP-driven, self-serve analytics to provide access to actionable insights. Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators. Collect: Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For example, Selector Analytics may… | N/A |
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | Optional | ||||||||||||||
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| Small Businesses | Amazon CloudWatch Score7.8 out of 10 | No answers on this topic |
| Medium-sized Companies | LogicMonitor Score8.9 out of 10 | ScienceLogic AI Platform Score8.2 out of 10 |
| Enterprises | ManageEngine Site24x7 Score10 out of 10 | ignio AIOps Score8.1 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
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| Likelihood to Recommend | 8.0 | 8.0 |
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