G2 Vendor Directory

Neo4j Graph Database vs. Elastic Stack

A side-by-side comparison based on G2 review data.

MetricNeo4j Graph Database

by Neo4j

Elastic Stack

by Elastic

Overall rating4.54.5
Review count133109
Ease of use8.48.3
Ease of setup8.88.0
Quality of support8.78.4
Meets requirements8.79.1
NPS67.93893169.52381
Small Business43.6%22.2%
Mid-Market30.1%43.5%
Enterprise26.3%34.3%
Total page views475505
Total LLM citations13,8321,347

Neo4j Graph Database

The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes the Neo4j Graph Data Science Library – the leading enterprise-ready analytics workspace for graph data available as both open source and through a commercial license for enterprises – the graph visualization and exploration tool Bloom, the Cypher query language - very easy to learn and can operate across Neo4j, Apache Spark and Gremlin-based products using open source toolkits: "Cypher

Pros

  • Ease of Use
  • Features
  • Database Management
  • Performance Optimization
  • Speed
  • Design Flexibility

Elastic Stack

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data.

Pros

  • Ease of Use
  • Log Management
  • Versatility
  • Search Efficiency
  • Flexibility
  • Dashboard Usability