When you buy a product on Amazon or book a flight through some airline’s application, you are exposed to their underlying data management system. A robust database system stores data securely and transmit them as per the user's request/query. With millions of data exchanged over the database interface, the complexity cannot be ignored. A database management system like PostgreSQL overcome this challenge. It empowers the business process to interconnect with each other seamlessly and complete the transaction successfully. ( Image source: Udemy) PostgreSQL is free and open-source software. It is the first database management system that implements a multi-version concurrency control (MVCC) feature, even before Oracle. It enables you to add custom functions developed using different programming languages such as C/C++, Java, etc. Their relational data management system has great advantages on traditional DBMS. Check the difference below. Difference between DBMS and RDBMS Features one must consider before choosing the database system for a business operation. Database size Deployment environment (Single Server, Distributed, Cloud etc.) Data security requirements Support of Advanced features like Scalability, Replication etc. Availability of technical support Management tools available There are other alternatives to PostgreSQL that could fit into your business model, depending on the size of your business. But before jumping straight to PostgreSQL alternative, check some of the leading data management system of 2019. Top 10 Database Management System of 2019 (Image source: db-engines) Top 10 Alternative to PostgreSQL MySQL: MySQL follows a client /server architecture. It is flexible and allows transactions to be rolled back, commits, and crash recovery. MySQL uses Triggers, Stored procedures and views, which enables the developer to give a higher productivity. MongoDB: It has an automatic load balancing configuration because of data placed in shards. It provides ad-hoc query support, which makes it exclusive. It can also index any field in a document. MariaDB:MariaDB offers many operations and commands unavailable in MySQL. It can run on a number of operating systems and supports a wide variety of programming languages. Microsoft SQL Server: Big data clusters are new additions to the SQL server 2019 release."Columnstore Indexes" feature introduced to reduce memory utilization on large queries. Teradata: Based on the concept "Shared Nothing design" Teradata contains a huge data processing system.Teradata supports ad-hoc queries. Apache Cassandra: Apache Cassandra is a highly scalable and manages high-velocity structured data across multiple commodity servers without a single point of failure.It performs blazingly fast writes and can store hundreds of terabytes of data, without sacrificing the read efficiency. Oracle Database: Oracle Database provides a comprehensive range of partitioning schemes to address every business requirement. Redis:The database is extremely fast. It loads up to 110,000 SETs/second and retrieves 81,000 GETs/second.Redis supports various types of data structures such as strings, hashes, sets, lists, sorted sets, etc. IBMD2:The storage optimization features of IBM Db2 can enhance performance, reduce elapsed time and significantly reduce processing power consumption Elaticsearch: It is highly scalable and runs perfectly fine on any machine or in a cluster containing hundreds of nodes. Below list compares the features of PostgreSQL alternatives.
When you buy a product on Amazon or book a flight through some airline’s application, you are exposed to their underlying data management system. A robust database system stores data securely and transmit them as per the user's request/query. With millions of data exchanged over the database interface, the complexity cannot be ignored. A database management system like PostgreSQL overcome this challenge. It empowers the business process to interconnect with each other seamlessly and complete the transaction successfully. ( Image source: Udemy) PostgreSQL is free and open-source software. It is the first database management system that implements a multi-version concurrency control (MVCC) feature, even before Oracle. It enables you to add custom functions developed using different programming languages such as C/C++, Java, etc. Their relational data management system has great advantages on traditional DBMS. Check the difference below. Difference between DBMS and RDBMS Features one must consider before choosing the database system for a business operation. Database size Deployment environment (Single Server, Distributed, Cloud etc.) Data security requirements Support of Advanced features like Scalability, Replication etc. Availability of technical support Management tools available There are other alternatives to PostgreSQL that could fit into your business model, depending on the size of your business. But before jumping straight to PostgreSQL alternative, check some of the leading data management system of 2019. Top 10 Database Management System of 2019 (Image source: db-engines) Top 10 Alternative to PostgreSQL MySQL: MySQL follows a client /server architecture. It is flexible and allows transactions to be rolled back, commits, and crash recovery. MySQL uses Triggers, Stored procedures and views, which enables the developer to give a higher productivity. MongoDB: It has an automatic load balancing configuration because of data placed in shards. It provides ad-hoc query support, which makes it exclusive. It can also index any field in a document. MariaDB:MariaDB offers many operations and commands unavailable in MySQL. It can run on a number of operating systems and supports a wide variety of programming languages. Microsoft SQL Server: Big data clusters are new additions to the SQL server 2019 release."Columnstore Indexes" feature introduced to reduce memory utilization on large queries. Teradata: Based on the concept "Shared Nothing design" Teradata contains a huge data processing system.Teradata supports ad-hoc queries. Apache Cassandra: Apache Cassandra is a highly scalable and manages high-velocity structured data across multiple commodity servers without a single point of failure.It performs blazingly fast writes and can store hundreds of terabytes of data, without sacrificing the read efficiency. Oracle Database: Oracle Database provides a comprehensive range of partitioning schemes to address every business requirement. Redis:The database is extremely fast. It loads up to 110,000 SETs/second and retrieves 81,000 GETs/second.Redis supports various types of data structures such as strings, hashes, sets, lists, sorted sets, etc. IBMD2:The storage optimization features of IBM Db2 can enhance performance, reduce elapsed time and significantly reduce processing power consumption Elaticsearch: It is highly scalable and runs perfectly fine on any machine or in a cluster containing hundreds of nodes. Below list compares the features of PostgreSQL alternatives.
When you buy a product on Amazon or book a flight through some airline’s application, you are exposed to their underlying data management system. A robust database system stores data securely and transmit them as per the user's request/query. With millions of data exchanged over the database interface, the complexity cannot be ignored.
A database management system like PostgreSQL overcome this challenge. It empowers the business process to interconnect with each other seamlessly and complete the transaction successfully.
( Image source: Udemy)
PostgreSQL is free and open-source software. It is the first database management system that implements a multi-version concurrency control (MVCC) feature, even before Oracle. It enables you to add custom functions developed using different programming languages such as C/C++, Java, etc. Their relational data management system has great advantages on traditional DBMS. Check the difference below.
Difference between DBMS and RDBMS
Features one must consider before choosing the database system for a business operation.
- Database size
- Deployment environment (Single Server, Distributed, Cloud etc.)
- Data security requirements
- Support of Advanced features like Scalability, Replication etc.
- Availability of technical support
- Management tools available
There are other alternatives to PostgreSQL that could fit into your business model, depending on the size of your business. But before jumping straight to PostgreSQL alternative, check some of the leading data management system of 2019.
Top 10 Database Management System of 2019
(Image source: db-engines)
Top 10 Alternative to PostgreSQL
- MySQL: MySQL follows a client /server architecture. It is flexible and allows transactions to be rolled back, commits, and crash recovery. MySQL uses Triggers, Stored procedures and views, which enables the developer to give a higher productivity.
- MongoDB: It has an automatic load balancing configuration because of data placed in shards. It provides ad-hoc query support, which makes it exclusive. It can also index any field in a document.
- MariaDB:MariaDB offers many operations and commands unavailable in MySQL. It can run on a number of operating systems and supports a wide variety of programming languages.
- Microsoft SQL Server: Big data clusters are new additions to the SQL server 2019 release."Columnstore Indexes" feature introduced to reduce memory utilization on large queries.
- Teradata: Based on the concept "Shared Nothing design" Teradata contains a huge data processing system.Teradata supports ad-hoc queries.
- Apache Cassandra: Apache Cassandra is a highly scalable and manages high-velocity structured data across multiple commodity servers without a single point of failure.It performs blazingly fast writes and can store hundreds of terabytes of data, without sacrificing the read efficiency.
- Oracle Database: Oracle Database provides a comprehensive range of partitioning schemes to address every business requirement.
- Redis:The database is extremely fast. It loads up to 110,000 SETs/second and retrieves 81,000 GETs/second.Redis supports various types of data structures such as strings, hashes, sets, lists, sorted sets, etc.
- IBMD2:The storage optimization features of IBM Db2 can enhance performance, reduce elapsed time and significantly reduce processing power consumption
- Elaticsearch: It is highly scalable and runs perfectly fine on any machine or in a cluster containing hundreds of nodes.
Below list compares the features of PostgreSQL alternatives.
