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 Banking Platforms Achieve Accurate Cost Estimation with Enteros GenAI and Cloud Cost Attribution

  • 10 March 2026
  • Database Performance Management

    Introduction The banking industry is undergoing one of the most significant technological transformations in its history. Digital banking platforms, mobile payment systems, AI-powered fraud detection, and real-time financial analytics are now fundamental components of modern banking operations. These innovations rely on powerful cloud infrastructure and highly optimized databases to process millions of financial transactions every … Continue reading “How Banking Platforms Achieve Accurate Cost Estimation with Enteros GenAI and Cloud Cost Attribution”

    Continue Reading

    From Performance Monitoring to Growth Intelligence: Enteros AIOps for Technology Enterprises

    • Database Performance Management

      Introduction Technology enterprises are operating in an era where digital platforms determine market success. Software products, cloud platforms, SaaS applications, data analytics tools, and AI-powered systems are the backbone of modern businesses. Behind these digital services lies an intricate ecosystem of databases, cloud infrastructure, and applications that must operate at peak performance. For technology companies, … Continue reading “From Performance Monitoring to Growth Intelligence: Enteros AIOps for Technology Enterprises”

      Continue Reading

      How Enteros Powers Telecom Growth with AI Performance Management and Cloud FinOps

      • 9 March 2026
      • Database Performance Management

        Introduction The telecommunications industry is at the center of global digital transformation. From 5G rollouts and edge computing to streaming services, IoT connectivity, and real-time communication platforms, telecom companies are managing massive volumes of data and increasingly complex infrastructure. Behind every telecom service—voice calls, messaging, video streaming, mobile apps, and connected devices—there is a sophisticated … Continue reading “How Enteros Powers Telecom Growth with AI Performance Management and Cloud FinOps”

        Continue Reading

        Eliminating Healthcare Data Bottlenecks: Enteros Database Software with AI SQL Root Cause Analysis

        • Database Performance Management

          Introduction Healthcare organizations are under unprecedented pressure to deliver faster, smarter, and more reliable digital services. From electronic health records (EHR) and telemedicine platforms to AI-driven diagnostics and real-time patient monitoring, the healthcare ecosystem depends heavily on robust data infrastructure. At the center of this infrastructure are databases that store and process critical patient, clinical, … Continue reading “Eliminating Healthcare Data Bottlenecks: Enteros Database Software with AI SQL Root Cause Analysis”

          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.