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Neo4j

999
1.1K
+ 1
340
TerminusDB

5
13
+ 1
0
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Neo4j vs TerminusDB: What are the differences?

Neo4j: The world’s leading Graph Database. 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; TerminusDB: *An open source in-memory graph database *. It is a database built for data people. Terminus is a model driven graph database designed specifically for the web-age The result is unified, well-structured & refined data - the jet fuel of future business. It greatly reduces the time and effort required to build any application that shares, manipulates or edits data..

Neo4j and TerminusDB belong to "Graph Databases" category of the tech stack.

Some of the features offered by Neo4j are:

  • intuitive, using a graph model for data representation
  • reliable, with full ACID transactions
  • durable and fast, using a custom disk-based, native storage engine

On the other hand, TerminusDB provides the following key features:

  • Make complex data models easy, maintainable and enforced
  • Overcome the Object Impedance mismatch without turning your Database into an incomprehensible soup
  • Allow you to search for repeating patterns using recursion

Neo4j and TerminusDB are both open source tools. It seems that Neo4j with 7.63K GitHub stars and 1.81K forks on GitHub has more adoption than TerminusDB with 463 GitHub stars and 21 GitHub forks.

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Pros of Neo4j
Pros of TerminusDB
  • 68
    Cypher – graph query language
  • 58
    Great graphdb
  • 31
    Open source
  • 29
    Rest api
  • 27
    High-Performance Native API
  • 24
    ACID
  • 20
    Easy setup
  • 15
    Great support
  • 10
    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
    Best Graphdb
  • 4
    Highly-available
  • 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
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    Cons of Neo4j
    Cons of TerminusDB
    • 4
      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 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 TerminusDB?

      It is a database built for data people. Terminus is a model driven graph database designed specifically for the web-age. The result is unified, well-structured & refined data - the jet fuel of future business. It greatly reduces the time and effort required to build any application that shares, manipulates or edits data.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Neo4j?
      What companies use TerminusDB?
        No companies found
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        What tools integrate with Neo4j?
        What tools integrate with TerminusDB?
          No integrations found

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          Blog Posts

          What are some alternatives to Neo4j and TerminusDB?
          Titan
          Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
          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.
          Cassandra
          Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
          OrientDB
          It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
          JanusGraph
          It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
          See all alternatives