Apache Solr vs. Vertex AI Search
A side-by-side comparison based on G2 review data.
| Metric | Apache Solr | Vertex AI Search |
|---|---|---|
| Overall rating | 4.1 | 4.2 |
| Review count | 26 | 66 |
| Ease of use | 7.9 | 8.7 |
| Ease of setup | 6.9 | 8.7 |
| Quality of support | 6.8 | 8.4 |
| Meets requirements | 8.8 | 8.5 |
| NPS | 41.666667 | 43.548387 |
| Small Business | 11.5% | 40.9% |
| Mid-Market | 50.0% | 25.8% |
| Enterprise | 38.5% | 33.3% |
| Total page views | 116 | 1,393 |
| Total LLM citations | 167 | 1,251 |
Apache Solr
Apache Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication etc.
- Results
Vertex AI Search
Vertex AI Search and Conversation is a comprehensive suite within Google Cloud's Vertex AI platform, designed to empower organizations to build and deploy advanced search and conversational AI applications. By leveraging Google's cutting-edge machine learning models, this suite enables the creation of intelligent, context-aware search experiences and natural-sounding chatbots that can interact seamlessly with users. These tools are tailored to enhance information retrieval and user engagement across various enterprise applications.
- Easy Integrations
- Ease of Use
- Results
- Ease of Implementation
- Intuitive
- Problem Solving