What is JanusGraph?
It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
JanusGraph is a tool in the Graph Databases category of a tech stack.
JanusGraph is an open source tool with GitHub stars and GitHub forks. Here’s a link to JanusGraph's open source repository on GitHub
Who uses JanusGraph?
3 companies reportedly use JanusGraph in their tech stacks, including Broadsheet, Campus Discounts, and Subvertic.
11 developers on StackShare have stated that they use JanusGraph.
Cassandra, Amazon DynamoDB, Apache Spark, Apache Solr, and Scylla are some of the popular tools that integrate with JanusGraph. Here's a list of all 5 tools that integrate with JanusGraph.
Pros of JanusGraph
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- Elastic and linear scalability for a growing data and user base
- Data distribution and replication for performance and fault tolerance
- Multi-datacenter high availability and hot backups
- Support for ACID and eventual consistency
- Support for various storage backends: HBase, Cassandra, Bigtable, DynamoDB, BerkeleyDB
- Support for global graph data analytics, reporting, and ETL through integration with big data platforms: Spark, Giraph, Hadoop
- Support for geo, numeric range, and full-text search via: ElasticSearch, Solr, Lucene
- Native integration with the Apache TinkerPop graph stack
- Open source under the Apache 2 license
JanusGraph Alternatives & Comparisons
What are some alternatives to JanusGraph?
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Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.