Fraud Blocker
  • Solution
    • Solution
      • Enteros – SaaS Database Solution
      • Enteros – Expert Services
    • Use Cases
      • DevOps
      • Monitoring Business Performance
      • IT Production Operations
      • Cloud Migration and Scaling
      • Continuous Delivery
      • NoSQL / MongoDB / Cassandra
    • Industries
      • Insurance
      • Social Media & Entertainment
      • Government
      • Financial Services
      • Healthcare
      • Retail
      • Telecom
    • Roles
      • IT Production Operations
      • CIO
      • Engineering Manager
      • CFO
  • Product
    • UpBeat
      • Database Performance Management SaaS
    • UpBeat Platform
      • Cloud Cost Waste Analyzer (vCore & Credit Optimization)
      • AiOps DB Analytical Engine for Anomaly and Root Causes Detection
      • Deep Workload Diagnostics for Oracle Systems
      • Remediation Engine for Oracle Infrastractures
      • UpBeat Labs
    • DPMDPM is an innovative platform for IT production database performance management. The first of its kind, DPM provides decision support for each stage of the performance problem lifecycle
      • Learn more
  • Company
    •  About
      • Overview
      • Contact Us
      • Support
      • Partners
      • Careers
      • News
      • Blog
      • Management
    • Feature articleNPMD solutions play a key role in helping IT ops support increasingly complex technologies and services with network visibility, detection of performance issues and root cause analysis
      • Read more
    •  
  • Search
  • See Demo
  • Contact
(408) 824-1292

Oracle Aliases.

See Live Demo Start Free Trial

Preamble

In this tutorial you will learn how to use Oracle ALIASES (aliases for columns or tables) with syntax and examples.

Oracle ALIASES can be used to create an alias for a column or table.

ALIASES columns are used to simplify the reading of columns in your resulting set.

Read more"Indian Country" highlights Enteros and its database performance management platform *

ALIASES tables are used to shorten your SQL code to make it easier to read or when you make a standalone connection (i.e.: enumerating the same table more than once in the FROM sentence).

Syntax for ALIAS columns in Oracle / PLSQL

column_name AS alias_name

OR 

Syntax for ALIAS tables in Oracle / PLSQL

Read moreInteresting article from OpenAI on scaling kubernetes

table_name alias_name

Parameters or arguments

  • column_name – the original name of the column to which you want to specify an alias.
  • table_name – the initial name of the table to which you want to specify an alias.
  • alias_name – the nickname for the destination.

Note: If alias_name contains spaces, you must quote alias_name.

Example of ALIAS as a column

Typically, aliases are used to simplify the reading of column headers in your resulting set. For example, when fields are concatenated, you may get the following result.

For example:

Read moreArtificial Intelligence

SELECT contact_id, first_name || last_name AS NAME
FROM contacts
WHERE last_name = 'Anderson';

In this example, we replaced the second column (that is: first_name and last_name concatenated) as NAME. The result is that the NAME will appear as the header for the second column when the resulting set is returned.

Since our alias_name contains no spaces, we do not have to wrap alias_name in quotes.

However, it would be acceptable to write this example using quotes as follows:

SELECT contact_id, first_name || last_name AS "NAME"
FROM contacts
WHERE last_name = 'Anderson';

Then let’s take a look at an example where we should quote alias_name.

For instance:

SELECT contact_id, first_name || last_name AS "CONTACT NAME"
FROM contacts
WHERE last_name = 'Anderson';

In this example, we changed the second column (i.e.: first_name and last_name were concatenated) to “CONTACT NAME”. Since there are spaces in this alias, “CONTACT NAME” must be enclosed in quotes.

Example ALIAS table

When you create an alias for a table, this is either because you plan to list the same table name more than once in the FROM sentence (i.e.: join), or you want to shorten the table name to make the SQL statement shorter and easier to read.

Let’s take the example of ALIAS table name in Oracle / PLSQL.
For example:

SELECT p.product_id, p.product_name, categories.category_name
FROM products p
INNER JOIN categories
ON p.category_id = categories.category_id
ORDER BY p.product_name ASC, categories.category_name ASC;

In this example, we created an alias for the products p. table. In this SQL instruction, we can now refer to the products table as p.

When creating table aliases, there is no need to create aliases for all tables listed in the FROM sentence. You can create aliases for any or all tables.

For example, we could change our example above and create an alias for the table in this way.

SELECT p.product_id, p.product_name, c.category_name
FROM products p
INNER JOIN categories c
ON p.category_id = c.category_id
ORDER BY p.product_name ASC, c.category_name ASC;

We now have an alias for the categories c table, and an alias for the products p table.

What are Table Aliases? (Introduction to Oracle SQL)

 

About Enteros

​Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.​

The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.

Are you interested in writing for Enteros’ Blog? Please send us a pitch!

 


RELATED POSTS

How Enteros Transforms Manufacturing Growth Management with Cost Attribution and Showback Reporting on Azure Enterprise Agreements

  • 5 April 2026
  • Database Performance Management

    Introduction The manufacturing sector is rapidly evolving into a digitally driven ecosystem powered by smart factories, IoT devices, predictive maintenance, and AI-driven supply chains. As manufacturers embrace cloud platforms like Microsoft Azure to scale operations, they face a growing challenge: how to balance growth with cost control and operational efficiency. Azure Enterprise Agreements (EA) provide … Continue reading “How Enteros Transforms Manufacturing Growth Management with Cost Attribution and Showback Reporting on Azure Enterprise Agreements”

    Continue Reading

    What to Know About Enteros Performance Management for Banking Cost Estimation and AIOps Optimization

    • Database Performance Management

      Introduction The banking sector is undergoing a profound transformation driven by digital banking, real-time payments, AI-powered fraud detection, and regulatory compliance demands. Every transaction—whether it’s a mobile payment, loan approval, or trading execution—relies on high-performance databases and efficient IT operations. However, as banks scale across hybrid and multi-cloud environments, they face a dual challenge:maintaining peak … Continue reading “What to Know About Enteros Performance Management for Banking Cost Estimation and AIOps Optimization”

      Continue Reading

      How to Drive Retail Growth Performance with Enteros AI Platform, AI SQL, and Cloud FinOps

      • 2 April 2026
      • Database Performance Management

        Introduction The retail sector is undergoing a rapid digital transformation fueled by e-commerce expansion, omnichannel experiences, AI-driven personalization, and real-time inventory management. Modern retailers must process vast amounts of data while delivering seamless, fast, and highly personalized customer experiences. At the core of this transformation lies a complex technology ecosystem powered by databases, AI platforms, … Continue reading “How to Drive Retail Growth Performance with Enteros AI Platform, AI SQL, and Cloud FinOps”

        Continue Reading

        Who Should Adopt Enteros for Healthcare AI Database Performance and Growth Optimization

        • Database Performance Management

          Introduction The healthcare sector is rapidly evolving into a data-driven ecosystem powered by artificial intelligence, digital health platforms, and advanced analytics. From electronic health records (EHRs) and telemedicine to AI-driven diagnostics and precision medicine, healthcare organizations are increasingly dependent on high-performance databases and intelligent infrastructure. However, this transformation introduces a critical challenge: Who should adopt … Continue reading “Who Should Adopt Enteros for Healthcare AI Database Performance and Growth Optimization”

          Continue Reading

          Company

          • Production Database Performance Management
          • Enteros Professional Expert Services
          • NoSQL
          • Contact Us

          Solutions

          • DevOps
          • IT Production Operations
          • CFO: Maximize Financial Efficiency with Augmented FinOps
          • Engineering Manager
          • Retail

          UpBeat SaaS

          • Performance Explorer-i – Oracle Database Performance Management
          • High Load Capture – High Precision Database Performance Management
          • DBAct
          • Grid2Go – Advanced Database Analysis
          • Load2Test for Databases

          Resources

          • Verticals
          • Case Studies
          • UpBeat Access
          • UpBeat Documentation
          • Privacy Policy
          • Terms of Service

          Connect with Us

          Copyright © 2026 | Enteros, Inc. All Rights Reserved

          🎉 Thank you for subscribing!

          You're now on the list for database FinOps strategies and performance insights.