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Home/Categories/Databases & Storage/JanusGraph
icon of JanusGraph

JanusGraph

Open source alternative to Neo4j, Amazon Neptune and Azure Cosmos DB

  • 5.9K stars
  • Apache-2.0
  • Active this week
  • Last commit 4 days ago

Last verified Oct 21, 2026

It is a distributed, open-source graph database designed for scalability and handling large graphs across multi-machine clusters.

Visit websiteGitHub5.9K starsDeploy on Hostinger
image of JanusGraph
TL;DR

JanusGraph is a distributed graph database for large relationship-heavy datasets. It replaces proprietary graph databases for teams that need graph traversal, horizontal scale, and pluggable storage or indexing backends.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs and the FAQ
who it's for

Who JanusGraph is for#

Data teams modeling relationship networks

Use JanusGraph for fraud detection, identity graphs, recommendations, dependency maps, or knowledge graphs where traversal depth matters.

Skip if:

Your queries are simple tabular analytics that fit SQL joins and warehouse reporting.

Platform teams needing graph scale

Use JanusGraph when graph data must scale across distributed storage rather than stay inside a desktop or single-node database.

Skip if:

You need the simplest hosted graph database experience and do not want to operate storage backends.

the problem

The problem it solves#

Relational databases are awkward for questions that depend on many hops across relationships. Fraud rings, recommendations, identity graphs, knowledge graphs, and network topology queries often become slow joins or custom traversal code.

Proprietary graph databases can solve the modeling problem, but they may constrain storage choices, deployment models, or long-term cost. Teams with large graphs need a database that can scale across infrastructure they control.

how JanusGraph solves it

How it solves it#

Apache TinkerPop graph support

JanusGraph works with the TinkerPop stack and Gremlin traversal language, giving graph developers a familiar query model for multi-hop relationship exploration.

Pluggable storage backends

The project supports distributed storage backends, allowing teams to choose infrastructure that fits their scale, durability, and operations model.

External indexing integration

JanusGraph can pair graph storage with indexing systems for search-oriented lookups that complement traversal queries.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Built for large graph workloadsJanusGraph is designed for distributed graph data rather than only small embedded graph use cases, making it useful when relationship data grows beyond one machine.
  • Flexible infrastructure choicesPluggable backends help teams adapt JanusGraph to existing storage and indexing stacks instead of accepting one fixed database appliance.

Trade-offs

  • -More moving parts than a single databaseJanusGraph deployments can involve graph services, storage backends, and indexing systems. Teams need database operations skill to keep those parts healthy together.
tech stack · detected from GitHub

What it's built on#

Languages
Java
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ElasticsearchSolr
frequently asked

FAQ#

What is JanusGraph used for?

JanusGraph is used for graph database workloads such as knowledge graphs, fraud detection, recommendations, identity graphs, and network relationship analysis.

Does JanusGraph use Gremlin?

Yes. JanusGraph works with Apache TinkerPop and the Gremlin traversal language.

Is JanusGraph easier than Neo4j?

JanusGraph gives more backend flexibility but usually requires more operational setup. Neo4j is often easier to start with, especially through managed offerings.

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Hostinger

Run JanusGraph on your own server

Self-host JanusGraph on a Hostinger VPS.

Deploy on Hostinger

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