PostgreSQL 15 Data Types: Elevating Performance and Functionality

Empowering Your Database with PostgreSQL 15 Data Type Advancements: Performance, Efficiency, and Innovation


PostgreSQL 15 introduces several new data types and enhances existing ones, offering greater flexibility and improved performance for your database applications. This article provides an overview of the new and enhanced data types in PostgreSQL 15, along with practical use cases and examples.

  1. JSONB and JSON Path Indexing: PostgreSQL 15 extends its support for JSONB data type with JSON Path indexing. This feature allows you to create indexes on specific keys or paths within JSONB documents, enabling faster and more efficient queries on nested JSON data. For example, you can create a JSON Path index on a specific property of your JSONB documents, and then use it to quickly retrieve data based on that property.
  2. Binary Integer Literal: PostgreSQL 15 introduces support for binary integer literals using the “b” prefix. This allows you to represent binary numbers directly in SQL queries, making it easier to work with binary data in your database.
  3. Smallint and Integer Performance Improvements: In PostgreSQL 15, smallint and integer data types have been optimized for improved performance. These data types are now more efficient and consume less storage space, resulting in faster query execution for integer-based operations.
  4. Improved Range Types: PostgreSQL 15 enhances range types by allowing you to use range literals with the “r” prefix. This feature simplifies range creation and manipulation in queries, making it easier to work with temporal data and numeric ranges.
  5. Time Zone Abbreviations for Timestamps: With PostgreSQL 15, you can now store timestamp values with time zone abbreviations, allowing for more concise representation of timestamps and simplified handling of time zone conversions.
  6. Improvements to tsquery and tsvector: PostgreSQL 15 includes enhancements to the tsquery and tsvector data types, improving full-text search capabilities. This includes improved phrase search support, making it easier to search for exact phrases in text documents.
  7. Foreign Table Enhancements: PostgreSQL 15 extends the capabilities of foreign tables, allowing you to define column options and default expressions for foreign tables. This provides more control over how data is mapped between the local and remote tables, improving data integration and query performance.
  8. Enhanced NUMERIC Data Type: PostgreSQL 15 introduces performance improvements for the NUMERIC data type. With the new implementation, calculations involving NUMERIC data are now faster and more efficient, making it suitable for handling high-precision numeric values.
  9. Support for INTERVAL Data Type: PostgreSQL 15 adds support for the INTERVAL data type, which represents a duration of time. INTERVAL allows you to store time spans in a concise and human-readable format, making it easier to perform calculations and operations involving time intervals.
  10. Improved ENUM Data Type: The ENUM data type in PostgreSQL 15 benefits from improved performance and reduced storage requirements. ENUM provides a compact way to store a predefined set of values, and with the optimizations in PostgreSQL 15, it becomes an even more efficient choice for representing enumerated types.
  11. Extended UUID Data Type: PostgreSQL 15 extends the UUID data type to support more input and output formats, making it more versatile when working with universally unique identifiers. The new UUID functions simplify UUID generation and conversion operations.
  12. Date and Time Improvements: PostgreSQL 15 includes various improvements to date and time data types, including better handling of time zones, enhanced precision for time values, and optimized range operators for date and time intervals.
  13. Flexible STRING Data Type: PostgreSQL 15 introduces a flexible STRING data type, which can store both fixed-length and variable-length strings. This new data type allows you to define the string length based on your specific use case, offering more control over storage requirements and performance.
  14. Array Improvements: PostgreSQL 15 enhances array data types with improved performance for array functions and operators. The new release also provides better support for common array operations, making it easier to work with arrays in your database.
  15. Composite Data Type Enhancements: Composite data types in PostgreSQL 15 benefit from optimizations and performance improvements, enabling faster access to composite values and better handling of complex data structures.
  16. JSONB and Range Type Improvements: PostgreSQL 15 introduces several enhancements to the JSONB data type, making it even more powerful for working with JSON data. Improvements include faster indexing and better support for certain JSONB operators and functions. Additionally, range types now support more operators and functions, providing increased flexibility for handling range-based data.
  17. Integer Performance Optimization: PostgreSQL 15 brings optimizations to integer data types, resulting in faster calculations and better memory utilization for integer values. This enhancement benefits applications that heavily rely on integer arithmetic, such as financial systems or analytics applications.
  18. Full-Text Search Enhancements: Full-Text Search in PostgreSQL 15 is more efficient with improved search speed and reduced memory consumption. The new release also enhances support for phrase searches, allowing more precise and context-aware text searching.
  19. Geometric Data Type Updates: PostgreSQL 15 includes updates to geometric data types, such as points, lines, and polygons. With these updates, geometric data processing becomes more robust and accurate, making it an ideal choice for applications dealing with spatial data.
  20. XML Data Type Improvements: XML data types in PostgreSQL 15 receive optimizations, resulting in faster parsing and improved performance when working with XML data. These enhancements make PostgreSQL a more attractive option for applications that rely heavily on XML data processing.
  21. Network Address Data Type Updates: PostgreSQL 15 enhances the network address data types, allowing better storage and manipulation of IP addresses and network masks. These updates make it easier to work with network-related data in your database.
  22. Composite Type Enhancements: Composite types in PostgreSQL 15 benefit from various improvements, including better support for default values and faster access to composite values. These enhancements enhance the usability and efficiency of composite types in your database schema.
  23. Domain Data Type Improvements: PostgreSQL 15 enhances domain data types by providing better performance for domain-related operations. The new release ensures that domain data types perform optimally and maintain the integrity of your data.
  24. Custom Data Type Enhancements: Developers can create custom data types in PostgreSQL, and PostgreSQL 15 improves the usability and performance of custom data types. This enables developers to create tailored data types that suit their specific application needs.


PostgreSQL 15 emerges as a robust and versatile database management solution, equipped with a host of advanced features to address the diverse needs of today’s applications. From improved data types and indexing optimizations to enhanced replication and vacuuming strategies, PostgreSQL 15 empowers developers and administrators to create high-performance, secure, and scalable database environments. By leveraging the power of PostgreSQL 15’s innovations, organizations can unlock the full potential of their databases, ensuring seamless data operations and powering the next generation of data-driven applications.

About Shiv Iyer 456 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.