nebula graph vs neo4j

Struggling to choose between nebula graph and neo4j? Both products offer unique advantages, making it a tough decision.

nebula graph is a Ai Tools & Services solution with tags like distributed, graph-database, open-source.

It boasts features such as Native graph storage, High availability, Horizontal scalability, Strong data consistency, High concurrency, SQL-like query language and pros including High performance for graph workloads, Can handle large graphs with billions of vertices and trillions of edges, Fault tolerant and resilient, Flexible schema, Compatible with many graph algorithms.

On the other hand, neo4j is a Development product tagged with graph, database, nodes, edges, relationships, query, analyze, interconnected-data.

Its standout features include Graph database model, ACID transactions, Native graph storage, High performance graph algorithms, Graph query language Cypher, Horizontal scalability, and it shines with pros like Efficient for connected data, Fast real-time queries, Expressive query language, Easy modeling of data relationships, Built for enterprise scale.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

nebula graph

nebula graph

Nebula Graph is an open-source, distributed graph database designed to store and manage graph data at scale. It features high concurrency, low latency, and high availability for storing trillion-edge graphs.

Categories:
Ai Tools & Services Graph Databases
distributed graph-database open-source

Nebula graph Features

  1. Native graph storage
  2. High availability
  3. Horizontal scalability
  4. Strong data consistency
  5. High concurrency
  6. SQL-like query language

Pricing

  • Open Source
  • Custom Pricing

Pros

High performance for graph workloads

Can handle large graphs with billions of vertices and trillions of edges

Fault tolerant and resilient

Flexible schema

Compatible with many graph algorithms

Cons

Limited ecosystem compared to more established graph databases

Steep learning curve for query language

Not ideal for non-graph workloads

neo4j

neo4j

Neo4j is a graph database that uses graph structures with nodes, edges, and properties to represent and store connected data. It allows users to efficiently store, query, and analyze highly interconnected data at scale.

Categories:
Development Databases
graph database nodes edges relationships query analyze interconnected-data

Neo4j Features

  1. Graph database model
  2. ACID transactions
  3. Native graph storage
  4. High performance graph algorithms
  5. Graph query language Cypher
  6. Horizontal scalability

Pricing

  • Free Community Edition
  • Subscription-Based Enterprise Edition

Pros

Efficient for connected data

Fast real-time queries

Expressive query language

Easy modeling of data relationships

Built for enterprise scale

Cons

Steep learning curve for Cypher

Not ideal for hierarchical data

No native indexing of strings

Requires more resources than relational databases