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JanusGraph

42
95
+ 1
0
OrientDB

75
107
+ 1
14
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JanusGraph vs OrientDB: What are the differences?

Introduction

In the realm of graph databases, JanusGraph and OrientDB are among the top contenders, each offering distinct features and functionalities. Below are key differences between these two databases that would help users make an informed decision.

  1. Data Modeling Flexibility: JanusGraph provides users with a schema-optional approach, allowing for flexible and dynamic data modeling. On the other hand, OrientDB enforces a schema-based model, requiring users to define the schema beforehand. This makes JanusGraph more suitable for scenarios where the data structure may evolve over time or require a more agile approach.

  2. Scalability: JanusGraph is specifically designed for distributed graph processing, enabling horizontal scaling across multiple servers seamlessly. In contrast, while OrientDB supports clustering and replication for scalability, it is not as inherently optimized for massive scalability compared to JanusGraph. Thus, JanusGraph is better suited for handling large and growing datasets efficiently.

  3. Consistency Model: JanusGraph follows the TinkerPop framework, which employs the Apache TinkerPop Gremlin query language for graph traversal. In contrast, OrientDB uses its own query language and follows the ACID properties for data consistency within transactions. Depending on the specific requirements of the application, the choice between a Gremlin-based system like JanusGraph or a SQL-like system like OrientDB can greatly impact development and query optimization strategies.

  4. Supported APIs and Integrations: JanusGraph supports various graph and NoSQL databases as storage backends, providing users with flexibility in choosing the most suitable data store for their needs. OrientDB, on the other hand, is an all-in-one solution that combines graph database capabilities with document and object-oriented database features. This makes OrientDB a convenient choice for applications requiring a versatile database with diverse data models.

  5. Community and Support: JanusGraph is an open-source project maintained by the Linux Foundation, with active contributions from a wide community of developers and users. In contrast, while OrientDB is also open-source, it is primarily developed and supported by OrientDB Ltd., which may impact the availability of resources and community-driven features for users. Depending on the preference for community-driven development or commercial support, users may lean towards one platform over the other.

  6. Performance Optimization: JanusGraph places a strong emphasis on optimizing graph traversals and queries, making it well-suited for applications requiring complex graph analytics and traversals. OrientDB, with its multi-model capabilities, may offer superior performance for applications that primarily rely on document or relational data models. Choosing the right tool depends on the specific performance requirements of the application, be it graph-centric or multi-model in nature.

In Summary, the choice between JanusGraph and OrientDB boils down to data modeling flexibility, scalability needs, consistency models, supported APIs, community support, and performance optimization based on the specific requirements of the application.

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Pros of JanusGraph
Pros of OrientDB
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    • 4
      Great graphdb
    • 2
      Great support
    • 2
      Open source
    • 1
      Multi-Model/Paradigm
    • 1
      ACID
    • 1
      Highly-available
    • 1
      Performance
    • 1
      Embeddable
    • 1
      Rest api

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    Cons of JanusGraph
    Cons of OrientDB
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      • 4
        Unstable

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      What is 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.

      What is 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.

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      What companies use JanusGraph?
      What companies use OrientDB?
      See which teams inside your own company are using JanusGraph or OrientDB.
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      What tools integrate with JanusGraph?
      What tools integrate with OrientDB?
        No integrations found

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        What are some alternatives to JanusGraph and OrientDB?
        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.
        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.
        ArangoDB
        A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
        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.
        Cayley
        Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
        See all alternatives