computer science

JanusGraph

JanusGraph is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand JanusGraph rather than just read about it. In short: JanusGraph is an open source, distributed graph database under The Linux Foundation. JanusGraph is available under the Apache License 2.0.

Key takeaways

JanusGraph belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect JanusGraph to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of JanusGraph from memory before moving on to harder problems.

Reference excerpt

JanusGraph is an open source, distributed graph database under The Linux Foundation. JanusGraph is available under the Apache License 2.0. The project is supported by IBM, Google, Hortonworks and Grakn Labs. JanusGraph supports various storage backends (Apache Cassandra, Apache HBase, Google Cloud Bigtable, Oracle BerkeleyDB, ScyllaDB). The Scalability of JanusGraph depends on the underlying technologies, which are used with JanusGraph. For example, by using Apache Cassandra as a storage backend scaling to multiple datacenters is provided out of the box. JanusGraph supports global graph data analytics, reporting, and ETL through integration with big data platforms (Apache Spark, Apache Giraph, Apache Hadoop). JanusGraph supports geo, numeric range, and full-text search via external index storages (ElasticSearch, Apache Solr, Apache Lucene). JanusGraph has native integration with the Apache TinkerPop graph stack (Gremlin graph query language, Gremlin graph server, Gremlin applications).

History JanusGraph is the fork of TitanDB graph database which is being developed since 2012.

Version 0.1.0 was released on Apr 20, 2017. Version 0.1.1 was released on May 16, 2017. Version 0.2.0 was released on Oct 12, 2017. Version 0.2.1 was released on Jul 10, 2018. Version 0.2.2 was released on Oct 9, 2018. Version 0.2.3 was released on May 21, 2019. Version 0.3.0 was released on Jul 31, 2018. Version 0.3.1 was released on Oct 2, 2018. Version 0.3.2 was released on Jun 16, 2019. Version 0.3.3 was released on Jan 11, 2020. Version 0.4.0 was released on Jul 1, 2019. Version 0.4.1 was released on Jan 14, 2020. Version 0.5.0 was released on Mar 10, 2020. Version 0.5.1 was released on Mar 25, 2020. Version 0.5.2 was released on May 3, 2020. Version 0.5.3 was released on December 24, 2020. Version 0.6.0 was released on September 3, 2021. Version 0.6.1 was released on January 18, 2022. Version 0.6.3 was released on February 18, 2023. Version 1.0.0 was released on October 21, 2023. Version 1.1.0 was released on November 9, 2024,

Licensing and contributions JanusGraph is available under Apache Software License 2.0. For contributions an individual or an organisation must sign a CLA paper.

Literature Kelvin R. Lawrence. PRACTICAL GREMLIN An Apache TinkerPop Tutorial. Version 282-preview. - February 2019, pp. 324 – 363.

Publications Gabriel Campero Durand, Jingy Ma, Marcus Pinnecke, Gunter Saake: Piecing together large puzzles, efficiently: Towards scalable loading into graph database systems, May 2018 Hima Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez Muro, Ryan Musa, Michael Witbrock: Scalable Reasoning Infrastructure for Large Scale Knowledge Bases, October 2018 Gabriel Campero Durand, Anusha Janardhana, Marcus Pinnecke, Yusra Shakeel, Jacob Krüger, Thomas Leich, Gunter Saake: Exploring Large Scholarly Networks with Hermes Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu (Richard) Chen, Jason Crawford, Hiroki Kanezashi: System G Distributed Graph Database Bogdan Iancu, Tiberiu Marian Georgescu: Saving Large Semantic Data in Cloud: A Survey of the Main DBaaS Solutions Jingyi Ma. An Evaluation of the Design Space for Scalable Data Loading into Graph Databases - February 2018, pp. 39–47.

References

External links Official website Official documentation JanusGraph deployment / IBM, 11 April 2018 Developing a JanusGraph-backed Service on Google Cloud Platform / Google, 19 July 2018 Performance optimization of JanusGraph / Expero, 23 January 2018 Graph Computing with JanusGraph Archived 2018-10-07 at the Wayback Machine / IBM, 8 June 2018 Large Scale Graph Analytics with JanusGraph / Hortonworks, 13 June 2017 JanusGraph Concepts / IBM, 12 December 2017 Apache Atlas and JanusGraph – Graph-based Meta Data Management / IBM, 8 November 2018

Illustrations

Worked examples

Example 1 — a first encounter with JanusGraph

Start with the simplest possible case. Write down what JanusGraph claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to JanusGraph before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about JanusGraph ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of JanusGraph

In research: JanusGraph appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses JanusGraph in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: JanusGraph is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2017 software, Distributed computing architecture, Free database management systems, so understanding it makes those chapters shorter.
In everyday life: Look for JanusGraph outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study JanusGraph in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what JanusGraph means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain JanusGraph out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is JanusGraph in simple terms?

JanusGraph is an open source, distributed graph database under The Linux Foundation. JanusGraph is available under the Apache License 2.0.

Why does JanusGraph matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study JanusGraph?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on JanusGraph.