Difference between Amazon Redshift and PostgreSQL Last Updated : 15 Jul, 2025 Comments Improve Suggest changes 1 Likes Like Report Choosing the right database can greatly affect how well your data is managed and analyzed. Amazon Redshift and PostgreSQL are two popular options, each with unique strengths. Amazon Redshift is a powerful data warehouse designed for handling large-scale data analysis, while PostgreSQL is a flexible, open-source database known for its reliability and customization options. This article will explore the main differences between Amazon Redshift and PostgreSQL, looking at how they work, their performance, typical uses, and costs. Introduction to Amazon Redshift and PostgreSQLAmazon RedshiftIt is a data warehouse which is based on cloud. Amazon Redshift has a commercial license and is a part of Amazon web services. It handles large scale of data and is known for its scalability. It does parallel processing of multiple data. It uses the ACID properties as its working principle and is very popular. It is implemented in C language and has high availability. PostgreSQLPostgreSQL is a database that has a object-relational model and was developed by PostgreSQL Global Development group in 1989. It is a powerful free open source software. It is also known as Postgres. PostgreSQL is supported by majority of operating systems and has a good performance. It is a extended version of SQL and has additional features. It mainly works on the principle of ACID. It is implemented in C language. Difference between Amazon Redshift and PostgreSQL :S.NO.Amazon RedshiftPostgreSQL1.Amazon Redshift was developed in 2012 by Amazon.PostgreSQL was developed in 1989 by PostgreSQL Global Development Group.2.It is a commercial software.It is an open-source software.3.It is cloud based.It is not cloud based.4.It supports hosted operating systems.It supports operating systems like Solaris, Unix, Windows.5.The rating of Amazon Redshift is lower than PostgreSQL.The rating of PostgreSQL is higher than Amazon Redshift.6.It doesn't have XML support.It has XML support.7.It does not have triggers.It has triggers.8.It has sharding as its partitioning method.It has partitioning by range.9.It provides in-memory capability of the system.It doesn't provides in-memory capability of the system.10.It is a large scale data warehouse.It is a relational database. Create Quiz Comment K kapilsparshi Follow 1 Improve K kapilsparshi Follow 1 Improve Article Tags : DBMS Difference Between Explore Basics of DBMSIntroduction of DBMS6 min readHistory of DBMS7 min readDBMS Architecture 1-level, 2-Level, 3-Level6 min readDifference between File System and DBMS6 min readER & Relational ModelIntroduction of ER Model9 min readStructural Constraints of Relationships in ER Model5 min readGeneralization, Specialization and Aggregation in ER Model4 min readIntroduction of Relational Model and Codd Rules in DBMS14 min readKeys in Relational Model6 min readMapping from ER Model to Relational Model5 min readStrategies for Schema design in DBMS6 min readRelational AlgebraIntroduction of Relational Algebra in DBMS8 min readSQL Joins (Inner, Left, Right and Full Join)4 min readJoin operation Vs Nested query in DBMS3 min readTuple Relational Calculus (TRC) in DBMS4 min readDomain Relational Calculus in DBMS4 min readFunctional Dependencies & NormalisationAttribute Closure in DBMS4 min readArmstrong's Axioms in Functional Dependency in DBMS4 min readCanonical Cover of Functional Dependencies in DBMS7 min readNormal Forms in DBMS5 min readThe Problem of Redundancy in Database3 min readLossless Join and Dependency Preserving Decomposition4 min readDenormalization in Databases4 min readTransactions & Concurrency ControlACID Properties in DBMS5 min readTypes of Schedules in DBMS5 min readConcurrency Control in DBMS3 min readGraph Based Concurrency Control Protocol in DBMS3 min readMultiple Granularity Locking in DBMS3 min readDatabase Recovery Techniques in DBMS4 min readDeadlock in DBMS4 min readAdvanced DBMSIndexing in Databases6 min readIntroduction of B Tree8 min readIntroduction of B+ Tree5 min readBitmap Indexing in DBMS3 min readInverted Index7 min readSQL Queries on Clustered and Non-Clustered Indexes6 min readFile Organization in DBMS4 min readPractice QuestionsLast Minute Notes - DBMS15+ min readDBMS Interview Questions with Answers15+ min readCommonly asked DBMS Interview Questions | Set 25 min readDatabase Management System - GATE CSE Previous Year Questions2 min read Like