![]() ![]() SQL Support and Featuresīoth CockroachDB and PostgreSQL support SQL and offer a wide range of features. This makes it suitable for globally distributed applications where maintaining consistency across geographically distant nodes is crucial. It utilizes a distributed consensus algorithm called Raft to achieve strong consistency across nodes. CockroachDB, while also adhering to ACID principles, takes a different approach. It guarantees that each transaction will see a consistent snapshot of the database. PostgreSQL follows a traditional ACID (Atomicity, Consistency, Isolation, Durability) model, ensuring strong consistency. Consistency ModelsĬonsistency models define the behavior of a database system when handling concurrent read and write operations. It automatically replicates data across nodes and handles failover and rebalancing, offering native support for high availability. CockroachDB, on the other hand, incorporates built-in replication and fault tolerance mechanisms. However, it requires external solutions like PgBouncer or PgPool to manage failover and load balancing. PostgreSQL supports various replication methods, such as streaming replication and logical replication, to achieve high availability. High Availability and Fault ToleranceĮnsuring high availability and fault tolerance is vital for critical applications that cannot afford downtime or data loss. As a result, CockroachDB excels in scenarios where high scalability is required. CockroachDB, with its distributed architecture, provides horizontal scalability, meaning it can handle increasing workloads by adding more nodes to the cluster. PostgreSQL can scale vertically by adding more resources to a single node, such as increasing CPU or RAM. Scalability is a crucial factor to consider when selecting a database system, especially for applications with growing user bases or large datasets. This distributed design allows CockroachDB to achieve high availability, fault tolerance, and horizontal scalability. It employs a shared-nothing architecture, where data is distributed across multiple nodes, and each node handles a portion of the workload. On the other hand, CockroachDB is built on a distributed architecture inspired by Google's Spanner. PostgreSQL follows a traditional single-master architecture, where a single node is responsible for coordinating read and write operations. ![]() ![]() ArchitectureĬockroachDB and PostgreSQL differ significantly in terms of architecture. By the end, you will have a clearer understanding of which database system suits your specific requirements. In this article, we will delve into the similarities and differences between CockroachDB and PostgreSQL, comparing various aspects such as architecture, scalability, performance, and more. Both are powerful database management systems with their own unique features and strengths. In the world of relational databases, two names that often stand out are CockroachDB and PostgreSQL. ![]()
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