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JanusGraph VS Graph Engine

Compare JanusGraph VS Graph Engine 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.

Graph Engine logo Graph Engine

Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed com
  • JanusGraph Landing page
    Landing page //
    2022-03-29
  • Graph Engine Landing page
    Landing page //
    2023-07-31

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.

Graph Engine features and specs

  • High Performance
    Graph Engine is designed for high-performance data processing and supports complex graph operations efficiently, enabling real-time analytics and low-latency query responses.
  • Scalability
    Graph Engine is built to scale horizontally, allowing it to handle large datasets distributed across multiple nodes, making it suitable for big data applications.
  • Flexible Data Model
    It offers a versatile data model that can accommodate various types of graph data structures, providing flexibility for different use cases and applications.
  • Integration Capabilities
    Graph Engine can integrate with other data processing and storage systems, enhancing its usability in diverse IT environments.

Possible disadvantages of Graph Engine

  • Complexity
    Setting up and optimizing Graph Engine can be complex and may require specialized knowledge, which could be a barrier to entry for some teams.
  • Limited Ecosystem
    Compared to more established graph databases, Graph Engine may have a smaller ecosystem of tools and community support.
  • Resource Intensive
    Graph Engine's high-performance capabilities can demand significant computational and memory resources, posing challenges for smaller infrastructures.
  • Learning Curve
    New users or developers may face a steep learning curve due to the advanced concepts and technologies underlying Graph Engine.

JanusGraph videos

+ Add

Ted Wilmes on the state of JanusGraph 2018

More videos:

  • Review - Incorporating JanusGraph into your Scylla Ecosystem

Graph Engine videos

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

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Category Popularity

0-100% (relative to JanusGraph and Graph Engine)

JanusGraph

Graph Engine

NoSQL Databases
67 67%
NoSQL Databases
33% 33
Graph Databases
65 65%
Graph Databases
35% 35
Databases
67 67%
Databases
33% 33
Big Data
50 50%
Big Data
50% 50

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare JanusGraph and Graph Engine

JanusGraph Reviews

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Graph Engine Reviews

Top 15 Free Graph Databases
Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set....
Source: www.predictiveanalyticstoday.com
Open source Microsoft Graph Engine takes on Neo4j
Microsoft's been exploring this area since at least 2013, when it published a paper describing the Trinity project, a cloud-based, in-memory graph engine. The fruits of the effort, known as the Microsoft Graph Engine, are now available as an MIT-licensed open source project as an alternative to the likes of Neo4j or the Linux Foundation's recently announced JanusGraph.
Source: www.infoworld.com

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

Graph Engine mentions (0)

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

What are some alternatives?

When comparing JanusGraph and Graph Engine, 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.

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

Cayley - Open-source graph database.

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

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

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

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