Graph Engine vs Neo4j vs RedisGraph

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Graph Engine

4
29
+ 1
1
Neo4j

1.2K
1.4K
+ 1
351
RedisGraph

31
107
+ 1
7
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Pros of Graph Engine
Pros of Neo4j
Pros of RedisGraph
  • 1
    Flexiable, very expressive, native C# works
  • 69
    Cypher – graph query language
  • 61
    Great graphdb
  • 33
    Open source
  • 31
    Rest api
  • 27
    High-Performance Native API
  • 23
    ACID
  • 21
    Easy setup
  • 17
    Great support
  • 11
    Clustering
  • 9
    Hot Backups
  • 8
    Great Web Admin UI
  • 7
    Powerful, flexible data model
  • 7
    Mature
  • 6
    Embeddable
  • 5
    Easy to Use and Model
  • 4
    Highly-available
  • 4
    Best Graphdb
  • 2
    It's awesome, I wanted to try it
  • 2
    Great onboarding process
  • 2
    Great query language and built in data browser
  • 2
    Used by Crunchbase
  • 3
    10x – 600x faster than any other graph database
  • 2
    Cypher – graph query language
  • 1
    Great graphdb
  • 1
    Open source

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Cons of Graph Engine
Cons of Neo4j
Cons of RedisGraph
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    • 9
      Comparably slow
    • 4
      Can't store a vertex as JSON
    • 1
      Doesn't have a managed cloud service at low cost
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      - No public GitHub repository available -

      What is Graph Engine?

      The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.

      What is Neo4j?

      Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

      What is RedisGraph?

      RedisGraph is a graph database developed from scratch on top of Redis, using the new Redis Modules API to extend Redis with new commands and capabilities. Its main features include: - Simple, fast indexing and querying - Data stored in RAM, using memory-efficient custom data structures - On disk persistence - Tabular result sets - Simple and popular graph query language (Cypher) - Data Filtering, Aggregation and ordering

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      What companies use Graph Engine?
      What companies use Neo4j?
      What companies use RedisGraph?

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      What tools integrate with Graph Engine?
      What tools integrate with Neo4j?
      What tools integrate with RedisGraph?
        No integrations found

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        What are some alternatives to Graph Engine, Neo4j, and RedisGraph?
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        MongoDB
        MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
        Redis
        Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
        Amazon S3
        Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
        See all alternatives