G2 reviewers report that Elasticsearch excels in overall user satisfaction, reflected in its significantly higher G2 Score compared to OpenSearch. Users appreciate its scalability and flexibility, with one reviewer noting the ability to perform ultra-complex text queries and integrate seamlessly with APIs.
According to verified reviews, Elasticsearch has a much larger user base, with over 260 reviews compared to OpenSearch's 15. This volume of feedback suggests a more robust community and support network, which can be crucial for troubleshooting and sharing best practices.
Users say that Elasticsearch's implementation process is straightforward, with many highlighting the hosted solution that allows for quick launches and easy integration into existing tech stacks. In contrast, while OpenSearch is noted for its fast and easy-to-use interface, it lacks the same level of comprehensive user feedback on implementation.
Reviewers mention that Elasticsearch offers superior support quality, with a score that reflects its reliability. Users have praised the product for delivering on its promises and functioning reliably from the start, while OpenSearch's support, although quick, has received mixed feedback regarding its depth and effectiveness.
Users highlight Elasticsearch's powerful query capabilities, particularly its Query DSL, which allows for complex filtering and ranking. This level of sophistication is less emphasized in OpenSearch, where users appreciate its log categorization features but find it less versatile for advanced querying.
According to recent feedback, both products are well-regarded for their ease of use, but Elasticsearch edges out with a slightly lower learning curve for new users. OpenSearch is praised for its dashboard creation and log debugging features, yet some users feel it requires more configuration to achieve optimal categorization.
Pricing
Entry-Level Pricing
Elasticsearch
Elastic Cloud Serverless
Pay As You Go
Per Month
A fully automated, usage-based "Search AI" 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
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