Struggling to choose between JanusGraph and Titan Database? Both products offer unique advantages, making it a tough decision.
JanusGraph is a Development solution with tags like graph, database, distributed, scalable, cassandra, hbase.
It boasts features such as Distributed graph database, Supports various storage backends like Cassandra, HBase, etc, Scalable to handle large graphs, Support for complex traversals and graph algorithms, Native integration with Spark and TinkerPop Gremlin, Support for geo, numeric range and full-text search, ACID and serializable transactions, Multi-datacenter high availability and pros including Highly scalable, Flexible storage backend options, Strong consistency support, Powerful graph querying capabilities, Integrates well with big data stack.
On the other hand, Titan Database is a Development product tagged with graph, database, distributed, scalable.
Its standout features include Distributed graph database, Highly scalable, Real-time data access, ACID transactions, Multi-model storage, Elastic scaling, Global graph analytics, Native integration with Apache Spark & Apache TinkerPop Gremlin, and it shines with pros like High performance, Scalability, Fault tolerance, Flexibility, Open source.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
JanusGraph is a scalable, distributed graph database optimized for storing and querying large graphs. It is an open source project under the Linux Foundation and supports storage backends like Cassandra and HBase.
Titan is an open-source, distributed graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is highly scalable and provides real-time data access through a transactional database.