Struggling to choose between PostgreSQL and CockroachDB? Both products offer unique advantages, making it a tough decision.
PostgreSQL is a Development solution with tags like open-source, objectrelational, reliable, performant, sql-compliant.
It boasts features such as 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 pros including Robust feature set, High performance, Reliable, Free and open source, Cross platform, Strong community support.
On the other hand, CockroachDB is a Development product tagged with distributed, scalable, fault-tolerant, sql.
Its standout features include Distributed SQL database, Horizontal scaling, High availability, Fault tolerance, ACID transactions, Multi-datacenter support, SQL compatibility, Automatic replication and failover, Geo-distributed deployments, Automated data balancing, SQL access for applications, and it shines with pros like Scalable and highly available, Consistent and durable data, Automatic failover and recovery, SQL compatibility for easy migration, Open-source and community-driven, Cloud-native architecture.
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.
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.
CockroachDB is an open-source, distributed SQL database that scales horizontally with high availability to tolerate failures and supports strongly consistent ACID transactions. It aims to provide scalability, survivability, and data consistency across multiple datacenters.