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Cayley VS JanusGraph

Compare Cayley VS JanusGraph and see what are their differences

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  2. » Videos
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  4. » Alternatives

Cayley logo Cayley

Open-source graph database.

JanusGraph logo JanusGraph

JanusGraph is a scalable graph database optimized for storing and querying graphs.
  • Cayley Landing page
    Landing page //
    2022-02-03
  • JanusGraph Landing page
    Landing page //
    2022-03-29

Cayley features and specs

  • Open Source
    Cayley is open source, which means it is free to use and the source code is available for modification. This promotes transparency and community-driven development.
  • Graph Database
    Cayley is designed as a graph database and is optimized for storing and querying graph-structured data, which can be more efficient for certain types of complex queries.
  • Supports Multiple Storage Backends
    Cayley can be configured to use various storage backends like levelDB, BoltDB, and MongoDB, providing flexibility in terms of storage solutions.
  • Rich Query Language
    Cayley offers a powerful query language inspired by Google's GQL and supports multiple query methods, making it versatile for different query needs.

Possible disadvantages of Cayley

  • Limited Community Support
    As Cayley is an open-source project, it may have limited community support and a smaller ecosystem compared to more established databases like Neo4j.
  • Performance Concerns
    Depending on the size of the data set and the complexity of queries, performance might not match more specialized solutions without careful tuning.
  • Documentation
    The documentation for Cayley may not be as comprehensive or user-friendly as that of more mature projects, which could create challenges for new users.
  • Feature Set
    While Cayley is flexible, it might lack some advanced features present in other graph databases, which could limit its utility for complex use cases.

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.

Cayley videos

+ Add

Foundry Cigar- Cayley Review

JanusGraph videos

+ Add

Ted Wilmes on the state of JanusGraph 2018

More videos:

  • Review - Incorporating JanusGraph into your Scylla Ecosystem

Category Popularity

0-100% (relative to Cayley and JanusGraph)

Cayley

JanusGraph

NoSQL Databases
49 49%
NoSQL Databases
51% 51
Databases
49 49%
Databases
51% 51
Graph Databases
48 48%
Graph Databases
52% 52
Big Data
50 50%
Big Data
50% 50

User comments

Share your experience with using Cayley and JanusGraph. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, JanusGraph seems to be more popular. It has been mentiond 2 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.

Cayley mentions (0)

We have not tracked any mentions of Cayley yet. Tracking of Cayley recommendations started around Mar 2021.

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

What are some alternatives?

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

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

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

Apache TinkerPop - Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

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

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

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