Preamble
The PostgreSQL CEILING function returns the smallest integer value, which is greater than or equal to a number.
Syntax of the ceiling function in PostgreSQL
ceiling( number )
Parameters and function arguments
- number – The value used to search for the smallest integer value.
Note:
- The ceiling function is synonymous with the ceil function.
The ceiling function can be used in the following PostgreSQL versions
PostgreSQL 11, PostgreSQL 10, PostgreSQL 9.6, PostgreSQL 9.5, PostgreSQL 9.4, PostgreSQL 9.3, PostgreSQL 9.2, PostgreSQL 9.1, PostgreSQL 9.0, PostgreSQL 8.4.
Let’s look at some examples of the ceiling function to understand how to use the ceiling function in PostgreSQL.
For example:
SELECT ceiling(32.65);
--Result: 33
SELECT ceiling(32.1);
--Result: 33
SELECT ceiling(32);
--Result: 32
SELECT ceiling(-32.65);
--Result: -32
SELECT ceiling(-32.1);
--Result: -32
SELECT ceiling(-32);
--Result: -32
Tutorial; Creating Functions in PostgreSQL
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
Keeping Operations Running at Scale: Enteros’ AIOps-Driven Database Performance Platform
- 27 January 2026
- Database Performance Management
Introduction In manufacturing plants and insurance enterprises alike, operational continuity is non-negotiable. A delayed production schedule, a failed claims transaction, or a slow underwriting system can ripple into lost revenue, regulatory exposure, and eroded customer trust. At the heart of these operations sit databases—quietly powering everything from shop-floor automation and supply chain planning to policy … Continue reading “Keeping Operations Running at Scale: Enteros’ AIOps-Driven Database Performance Platform”
Managing Real Estate Data at Scale: Enteros AI Platform for Database Performance and Cost Estimation
Introduction The real estate sector has undergone a dramatic digital transformation over the past decade. From commercial real estate (CRE) platforms and property management systems to residential marketplaces, smart buildings, and PropTech startups, modern real estate enterprises are now fundamentally data-driven organizations. Behind digital leasing platforms, pricing engines, tenant experience apps, IoT-enabled buildings, analytics dashboards, … Continue reading “Managing Real Estate Data at Scale: Enteros AI Platform for Database Performance and Cost Estimation”
Governing AI Performance in Technology Enterprises: Enteros GenAI-Driven Intelligence Platform
- 26 January 2026
- Database Performance Management
Introduction Artificial Intelligence has moved from experimentation to the core of modern technology enterprises. AI now powers customer experiences, revenue optimization, fraud detection, personalization engines, autonomous operations, developer productivity tools, and mission-critical decision systems. From SaaS platforms and digital marketplaces to enterprise software and AI-native startups, organizations are embedding AI into nearly every layer of … Continue reading “Governing AI Performance in Technology Enterprises: Enteros GenAI-Driven Intelligence Platform”
Optimizing Healthcare Databases at Scale: How Enteros Aligns GenAI, Performance Intelligence, and Cloud FinOps
Introduction Healthcare organizations are under unprecedented pressure to deliver better patient outcomes while operating within increasingly constrained financial and regulatory environments. Hospitals, payer networks, life sciences companies, and digital health platforms now rely on massive volumes of data—electronic health records (EHRs), imaging repositories, genomics pipelines, AI-driven diagnostics, claims systems, and real-time patient monitoring platforms. At … Continue reading “Optimizing Healthcare Databases at Scale: How Enteros Aligns GenAI, Performance Intelligence, and Cloud FinOps”