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Neo4j

919
1K
+ 1
339
VoltDB

14
44
+ 1
18
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Neo4j vs VoltDB: 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; VoltDB: In-memory relational DBMS capable of supporting millions of database operations per second. VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Neo4j can be classified as a tool in the "Graph Databases" category, while VoltDB is grouped under "In-Memory Databases".

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, VoltDB provides the following key features:

  • In-Memory Performance with On-Disk Durability
  • Transparent Scalability with Data Consistency
  • NewSQL – All the benefits of SQL with Unlimited Scalability

"Cypher – graph query language" is the top reason why over 55 developers like Neo4j, while over 4 developers mention "SQL + Java" as the leading cause for choosing VoltDB.

Neo4j is an open source tool with 6.56K GitHub stars and 1.62K GitHub forks. Here's a link to Neo4j's open source repository on GitHub.

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Pros of Neo4j
Pros of VoltDB
  • 67
    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
    Mature
  • 7
    Powerful, flexible data model
  • 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
  • 5
    SQL + Java
  • 4
    In-memory database
  • 4
    A brainchild of Michael Stonebraker
  • 3
    Very Fast
  • 2
    NewSQL

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Cons of Neo4j
Cons of VoltDB
  • 4
    Can't store a vertex as JSON
  • 3
    Comparably slow
    Be the first to leave a con

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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 VoltDB?

    VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

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

    What companies use Neo4j?
    What companies use VoltDB?
    See which teams inside your own company are using Neo4j or VoltDB.
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    What tools integrate with Neo4j?
    What tools integrate with VoltDB?

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    What are some alternatives to Neo4j and VoltDB?
    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