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

Scaling AI Without Overspend: How Enteros Brings Financial Clarity to AI Platforms

  • 22 January 2026
  • Database Performance Management

    Introduction Artificial intelligence is no longer experimental. Across industries, AI platforms now power core business functions—recommendation engines, fraud detection, predictive analytics, conversational interfaces, autonomous decision systems, and generative AI applications. But as AI adoption accelerates, a critical problem is emerging just as fast: AI is expensive—and most organizations don’t fully understand why. Read more”Indian Country” … Continue reading “Scaling AI Without Overspend: How Enteros Brings Financial Clarity to AI Platforms”

    Continue Reading

    AI-Native Database Performance Management for Real Estate Technology Enterprises with Enteros

    • Database Performance Management

      Introduction Real estate has rapidly evolved into a technology-driven industry. From digital property marketplaces and listing platforms to smart building systems, valuation engines, CRM platforms, and AI-powered analytics, modern real estate enterprises run on data-intensive technology stacks. At the center of this transformation lies a critical foundation: databases. Every property search, pricing update, lease transaction, … Continue reading “AI-Native Database Performance Management for Real Estate Technology Enterprises with Enteros”

      Continue Reading

      Driving RevOps Efficiency Through AI-Driven Database Optimization with Enteros

      • 21 January 2026
      • Database Performance Management

        Introduction Revenue Operations (RevOps) has become the backbone of modern digital enterprises. By aligning sales, marketing, finance, and customer success, RevOps promises predictable growth, faster decision-making, and improved customer lifetime value. Yet, for many organizations, RevOps efficiency remains elusive. The missing link is often hidden deep within the technology stack: the database layer. Every revenue … Continue reading “Driving RevOps Efficiency Through AI-Driven Database Optimization with Enteros”

        Continue Reading

        How Retail Companies Can Reduce Cloud Costs Through Database Optimization with Enteros

        • Database Performance Management

          Introduction Retail has become one of the most data-intensive industries in the digital economy. Modern retailers rely on cloud-powered platforms to support omnichannel commerce, real-time inventory visibility, personalized recommendations, dynamic pricing, loyalty programs, supply chain optimization, and customer analytics. At the center of all these capabilities sits a critical layer: databases. Retail databases process millions … Continue reading “How Retail Companies Can Reduce Cloud Costs Through Database Optimization with Enteros”

          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.