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JanusGraph VS GraphSQL

Compare JanusGraph VS GraphSQL and see what are their differences

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JanusGraph logo JanusGraph

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

GraphSQL logo GraphSQL

GraphSQL offers real-time database management systems for big graph data that can optimize enterprise operations.
  • JanusGraph Landing page
    Landing page //
    2022-03-29
  • GraphSQL Landing page
    Landing page //
    2023-07-01

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.

GraphSQL features and specs

No features have been listed yet.

JanusGraph videos

+ Add

Ted Wilmes on the state of JanusGraph 2018

More videos:

  • Review - Incorporating JanusGraph into your Scylla Ecosystem

GraphSQL videos

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

Add video

Category Popularity

0-100% (relative to JanusGraph and GraphSQL)

JanusGraph

GraphSQL

Databases
77 77%
Databases
23% 23
Graph Databases
77 77%
Graph Databases
23% 23
NoSQL Databases
77 77%
NoSQL Databases
23% 23
Big Data
50 50%
Big Data
50% 50

User comments

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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.

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

GraphSQL mentions (0)

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

What are some alternatives?

When comparing JanusGraph and GraphSQL, 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.

GrapheneDB - Graph databases as-a-service

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

Grapholytic - grapholytic by MIOsoft produces results from the combination of a Graph DB and a scalable object database architecture.

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

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

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