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Memgraph vs Neo4j: What are the differences?

Introduction Memgraph and Neo4j are both popular graph database management systems that offer powerful features for storing and querying graph data. However, there are key differences between these two options that users should consider when choosing the right graph database for their specific needs.

  1. Performance: Memgraph is designed to deliver superior performance in terms of both read and write operations. It utilizes various optimizations like multi-threading and lock-free data structures to achieve high throughput. On the other hand, Neo4j may not offer the same level of performance as Memgraph, especially for large-scale graph databases with complex queries.

  2. Scalability: Memgraph provides native sharding support, allowing users to distribute the data across multiple machines seamlessly. This enables horizontal scalability and ensures high availability and fault tolerance. In contrast, Neo4j offers limited scalability options, as it relies heavily on a single master node architecture, which can become a bottleneck for performance and scalability when dealing with large graph databases.

  3. Ease of Use: Memgraph has a simple and intuitive query language called Cypher, which is easy to learn and use. It offers a wide array of built-in functions and operators to perform complex graph queries efficiently. Neo4j, on the other hand, uses its own query language called CQL (Cypher Query Language), which has a similar syntax to Cypher but may require more time to learn for users who are already familiar with Cypher.

  4. Community and Support: Neo4j has been around for a longer time and has a larger community of users and contributors. It has a well-established ecosystem with numerous resources, forums, and libraries available. Memgraph, being a relatively newer graph database, may have a smaller community and limited resources in comparison.

  5. Pricing and Licensing: Memgraph offers a free Community Edition that is open-source and can be used for commercial purposes. It also provides a paid Enterprise Edition with additional features and support. Neo4j follows a similar model, with a free Community Edition and various paid editions with advanced features and support. The pricing and licensing models may vary between the two solutions, so users should evaluate their specific needs and budget when making a decision.

  6. Ecosystem Integration: Neo4j has a strong integration with other popular technologies and frameworks like Java, Python, and various graph visualization libraries. It provides official drivers and plugins to connect and interact with these tools seamlessly. Memgraph, being a newer entrant, may have a smaller integration ecosystem currently but is actively working on enhancing its compatibility with existing tools and frameworks.

In summary, Memgraph offers enhanced performance, scalability, simplicity, pricing model, and ecosystem integration, while Neo4j has a larger community and support. Choosing between the two graph databases depends on specific requirements, preferences, and the trade-offs users are willing to make.

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Pros of Memgraph
Pros of Neo4j
    Be the first to leave a pro
    • 70
      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
      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 Memgraph
    Cons of Neo4j
      Be the first to leave a con
      • 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 Memgraph?

      Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.

      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.

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

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      What are some alternatives to Memgraph and Neo4j?
      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.
      Dgraph
      Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
      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.
      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.
      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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