EverGraph

EverGraph

EverGraph is a graph database platform designed for storing and querying highly connected data at scale. It enables real-time analytics and visualization of graph data.
graph-database analytics visualization

EverGraph: Graph Database Platform

A scalable graph database platform for real-time analytics and visualization of highly connected data

What is EverGraph?

EverGraph is a scalable, distributed graph database platform optimized for storing and analyzing highly connected data. It utilizes native graph storage and processing engines to offer superior performance for graph queries and traversals compared to traditional relational databases.

Key capabilities and benefits of EverGraph include:

  • Native support for property graphs, with vertices representing entities and edges representing relationships
  • Distributed architecture for horizontal scalability to manage massive graphs with billions of entities and relationships
  • Native indexing and parallel graph algorithms for fast traversals, pattern matching, and recommendations
  • Flexible data model with support for schema on read for evolving data
  • APIs for importing data from and exporting data to external systems
  • Integrated analytics capabilities like PageRank for identifying important nodes based on relationship patterns
  • Visual graph explorer and developer tools for querying, analyzing and manipulating graph data through an intuitive UI
  • Enterprise-grade security features for authentication, authorization and encryption

EverGraph can power real-time recommendations, fraud detection, master data management, network analysis and other use cases involving highly interconnected data.

EverGraph Features

Features

  1. Native graph database
  2. ACID transactions
  3. Graph algorithms
  4. Visual graph explorer
  5. GraphQL API
  6. Real-time analytics

Pricing

  • Free
  • Subscription-Based

Pros

Fast querying of connected data

Flexible data modeling

Scales to large datasets

Visual data exploration

Real-time analytics

Cons

Steep learning curve

Less mature than relational databases

Requires data modeling expertise

Limited query language

Official Links


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