G2 reviewers report that Elasticsearch excels in ease of setup and administration, with many users highlighting its intuitive interface and quick implementation process. This allows teams to get started rapidly and manage their search solutions with minimal friction.
Users say that Apache Solr is a popular choice for organizations looking for a transferable skill set, making it easier to train new team members. Its established presence in the market means that many users find it familiar and accessible.
Reviewers mention that Elasticsearch offers superior query flexibility and power, particularly with its Query DSL. Users appreciate the ability to perform complex text queries and combine various filtering options seamlessly, which enhances their search capabilities.
According to verified reviews, Apache Solr provides a solid foundation for search collection management, allowing users to store and retrieve data effectively. Users have noted its effectiveness in displaying product information on websites, which is crucial for e-commerce applications.
G2 reviewers highlight that Elasticsearch's quality of support is a significant advantage, with many users praising the responsiveness and helpfulness of the support team. This level of assistance can be vital for organizations that require quick resolutions to technical issues.
Users report that while Apache Solr has its strengths, it sometimes struggles with ease of use compared to Elasticsearch. Some users have expressed challenges in configuration and setup, which can hinder the overall user experience for those less familiar with the platform.
Pricing
Entry-Level Pricing
Apache Solr
No pricing available
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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