JanusGraphWhat 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.
Key Features
Elastic and linear scalability for a growing data and user baseData distribution and replication for performance and fault toleranceMulti-datacenter high availability and hot backupsSupport for ACID and eventual consistencySupport for various storage backends: HBase, Cassandra, Bigtable, DynamoDB, BerkeleyDBSupport for global graph data analytics, reporting, and ETL through integration with big data platforms: Spark, Giraph, HadoopSupport for geo, numeric range, and full-text search via:
ElasticSearch, Solr, LuceneNative integration with the Apache TinkerPop graph stackOpen source under the Apache 2 license
JanusGraph Pros & Cons
Pros of JanusGraph
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Cons of JanusGraph
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JanusGraph Alternatives & Comparisons
What are some alternatives to JanusGraph?
Neo4j
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.
Dgraph
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.
Titan
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.
