Struggling to choose between Titan Database and PostgreSQL? Both products offer unique advantages, making it a tough decision.
Titan Database is a Development solution with tags like graph, database, distributed, scalable.
It boasts features such as 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 pros including High performance, Scalability, Fault tolerance, Flexibility, Open source.
On the other hand, PostgreSQL is a Development product tagged with open-source, objectrelational, reliable, performant, sql-compliant.
Its standout features include Relational database management system (RDBMS), Open source with liberal license, SQL compliant and extensive SQL support, High performance and reliability, Fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, Multi-version concurrency control (MVCC) architecture, Asynchronous replication and failover, Table inheritance and table partitioning, Procedural languages support, and it shines with pros like Robust feature set, High performance, Reliable, Free and open source, Cross platform, Strong community support.
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.
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.
PostgreSQL is an open source, object-relational database management system known for its reliability, performance, and SQL compliance. It runs on all major operating systems and has a rich set of features including complex queries, foreign keys, triggers, views, and ACID compliance.