Software Alternatives, Accelerators & Startups
Register | Login

JanusGraph VS Apache TinkerPop

Compare JanusGraph VS Apache TinkerPop and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

JanusGraph logo JanusGraph

JanusGraph is a scalable graph database optimized for storing and querying graphs.

Apache TinkerPop logo Apache TinkerPop

Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).
  • JanusGraph Landing page
    Landing page //
    2022-03-29
  • Apache TinkerPop Landing page
    Landing page //
    2022-01-24

JanusGraph features and specs

  • Scalability
    JanusGraph is designed to support large-scale graph data processing, allowing it to handle huge graphs distributed across multiple machines effectively.
  • Compatibility
    It is compatible with various storage backends (like HBase, Apache Cassandra, and Google Bigtable) and indexing backends (such as Elasticsearch and Solr), providing flexibility in integration.
  • APIs and Queries
    JanusGraph supports the TinkerPop stack, enabling developers to use powerful graph traversal language Gremlin for query operations.
  • Open Source
    Being open-source, JanusGraph benefits from community contributions and offers transparency and extensibility to users.
  • Transaction Support
    It provides ACID transactions, ensuring reliability and consistency in graph operations.

Possible disadvantages of JanusGraph

  • Complexity
    The configuration and optimization of JanusGraph can be complex due to its support for multiple backends and the various configurations required for different setups.
  • Performance Variability
    Performance can vary significantly depending on the chosen backend datastore and its configuration, requiring careful consideration and tuning.
  • Operational Overhead
    Managing the infrastructure, especially when using distributed storage solutions, can introduce significant operational overhead.
  • Community and Support
    While it is open source, the community is not as vast or active as some other database technologies, which may limit available support and resources.
  • Resource Intensity
    Running JanusGraph with large datasets and multiple distributed nodes can require substantial resources, both in terms of hardware and maintenance.

Apache TinkerPop features and specs

  • Graph Abstraction
    Apache TinkerPop provides a generalized graph computing framework, allowing developers to work with a property graph model that supports both OLTP and OLAP use cases.
  • Gremlin Query Language
    Gremlin is a powerful and flexible graph traversal language that supports both imperative and declarative query styles, making it versatile for complex graph queries.
  • Vendor Neutrality
    TinkerPop is vendor-agnostic and supports multiple graph database systems such as Neo4j, JanusGraph, and Amazon Neptune, providing flexibility in choosing underlying storage.
  • Rich Ecosystem
    TinkerPop has a strong ecosystem with numerous integrations, plugins, and extensions, which helps in building applications more efficiently.
  • Community and Support
    Being part of the Apache Software Foundation, TinkerPop benefits from a strong community, extensive documentation, and regular updates.

Possible disadvantages of Apache TinkerPop

  • Complexity
    The flexibility and power of TinkerPop come with a steep learning curve, especially for those new to graph databases or the Gremlin language.
  • Performance Overhead
    Due to its abstraction layer, there might be performance overhead compared to using a graph database's native query language directly.
  • Limited Graph Algorithms
    Compared to specialized graph processing frameworks like Apache Giraph or GraphX, TinkerPop might have limitations in built-in graph algorithms.
  • Integration Overhead
    Integrating TinkerPop with existing systems may require additional overhead in terms of setup and configuration, especially if leveraging its multi-database support.

JanusGraph videos

+ Add

Ted Wilmes on the state of JanusGraph 2018

More videos:

  • Review - Incorporating JanusGraph into your Scylla Ecosystem

Apache TinkerPop videos

No Apache TinkerPop videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to JanusGraph and Apache TinkerPop)

JanusGraph

Apache TinkerPop

Databases
64 64%
Databases
36% 36
NoSQL Databases
62 62%
NoSQL Databases
38% 38
Graph Databases
64 64%
Graph Databases
36% 36
Big Data
50 50%
Big Data
50% 50

User comments

Share your experience with using JanusGraph and Apache TinkerPop. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Apache TinkerPop should be more popular than JanusGraph. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

JanusGraph mentions (2)

  • Graph Databases vs Relational Databases: What and why?
    First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / about 2 years ago
  • QOMPLX: Using Scylla with JanusGraph for Cybersecurity
    QOMPLX partnered with the graph database experts at Expero to implement their system with JanusGraph, which uses Scylla as an underlying fast and scalable storage layer. We had the privilege to learn from their use case at Scylla Summit this January, which we share with you today. Source: about 4 years ago

Apache TinkerPop mentions (5)

  • All About Graph RAG
    Part of the Apache TinkerPop framework, an imperative graph traversal language for the property graph model. - Source: dev.to / 10 days ago
  • Setup Azure Cosmos DB for Gremlin in Spring Boot Java
    The API for Gremlin is built based on Apache TinkerPop, a graph computing framework that uses the Gremlin query language. - Source: dev.to / about 1 year ago
  • Testcontainers
    You might take a look at Tinkerpop: https://tinkerpop.apache.org/. - Source: Hacker News / about 1 year ago
  • Getting Started with Redis and RedisGraph
    Property Graph, mainly represented as node and relationship in which they can have properties. The database for this kind of data is usually called Graph Database. Gremlin - by TinkerPop project and Cypher - by Neo4J are their query language (also AQL - Arango Query Language - by ArangoDB, but AQL does not only provides graph query language). - Source: dev.to / over 3 years ago
  • Should You Invent a New Query Language? (Probably Not)
    The most common graph query language at the moment would be Gremlin, which is part of the Apache TinkePop graph computing framework. It is simple to write, easy to learn, and widely supported by many graph databases and even non-graph databases that can emulate graph queries. On the other hand, it can be verbose for long queries but generally works well for both OLTP and analysis work. - Source: dev.to / almost 4 years ago

What are some alternatives?

When comparing JanusGraph and Apache TinkerPop, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Ontotext Graph DB - Graph DB is a semantic graph database that serves organizations to store, organize and manage content.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

Loading...