Users report that Elastic Observability excels in Dashboards and Visualizations with a score of 9.2, allowing for highly customizable and interactive visual representations of data, while Amazon CloudSearch, although effective, scores lower at 9.3, indicating a slight edge in user satisfaction for Elastic's offerings.
Reviewers mention that Elastic Observability's Alerting feature, rated at 8.3, provides robust multi-channel alerting capabilities, which some users find more comprehensive compared to Amazon CloudSearch's alerting functionalities, which are rated at 8.7 but lack the same level of customization.
G2 users highlight that Elastic Observability's Integrations score of 9.2 is a significant advantage, as it seamlessly connects with various tools and platforms, whereas Amazon CloudSearch, while functional, does not offer the same breadth of integrations, leading to potential limitations in workflow.
Users on G2 report that Elastic Observability's Performance Monitoring capabilities, particularly in Real-Time Monitoring, rated at 8.9, are superior, providing immediate insights into system performance, while Amazon CloudSearch's performance monitoring features, although effective, do not match the immediacy and depth of Elastic's offerings.
Reviewers mention that Elastic Observability's AI/ML Assistance features are particularly strong, with users appreciating the proactive identification of issues, while Amazon CloudSearch's AI capabilities, although present, do not provide the same level of insight or automation, leading to a less proactive approach.
Users say that Elastic Observability's Search Analytics feature, rated at 8.9, offers deeper insights into user behavior and search patterns, which is a critical aspect for many businesses, while Amazon CloudSearch, despite its solid performance, does not provide the same level of detailed analytics, making it less favorable for data-driven decision-making.
Pricing
Entry-Level Pricing
Amazon CloudSearch
No pricing available
Elastic Observability
Elastic Cloud Serverless
Pay As You Go
Per Month
A fully automated, usage-based platform. Ideal for variable workloads where compute scales independently from storage, requiring zero capacity planning or infrastructure management.
No-ops management: Elastic handles all upgrades and scaling
Decoupled compute and storage scaling
Specialized VCUs for Ingest, Search, and Machine Learning
what is the best way to sync data with elastic search from SQL server
3 Comments
AT
Write a process that convert each line into Json format and load it into ElasticSearchRead more
Do elastic search use indexes to store the information.
1 Comment
AD
I'll take a stab at answering this question though I'm not 100% sure exactly what you are after.
The way I would explain it is that in elasticsearch an...Read more
Can I use Elasticsearch for free?
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GO
https://www.elastic.co/pricing/faq
Self-Managed: Yes. From the very beginning, the Elastic Stack — Elasticsearch, Kibana, Beats, and Logstash — has been...Read more
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