MongoDB Atlas vs. Elasticsearch
A side-by-side comparison based on G2 review data.
| Metric | MongoDB Atlas | Elasticsearch |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 906 | 315 |
| Ease of use | 8.9 | 8.7 |
| Ease of setup | 8.9 | 8.7 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 70.409357 | 67.973856 |
| Small Business | 45.2% | 30.3% |
| Mid-Market | 25.9% | 36.3% |
| Enterprise | 29.0% | 33.4% |
| Total page views | 916 | 1,562 |
| Total LLM citations | 6,190 | 14,644 |
MongoDB Atlas
MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.
- Ease of Use
- User Interface
- Scalability
- Features
- Reliability
- Performance
Elasticsearch
Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community.
- Ease of Use
- Speed
- Fast Search
- Results
- Features
- Search Efficiency