Definition of QphH

What does is it mean and how is it used

What is a QphH (Query-per-Hour Performance)?

The TPC-H Composite Query-per-Hour Performance (QphH@Size) is a metric used to reflect multiple aspects of a database system’s ability to process queries.

These aspects include the selected database size against which the queries are executed, the query processing power when queries are submitted by a single stream, and the query throughput when queries are submitted by multiple concurrent users. The TPC-H Price/Performance metric is expressed as $/QphH@Size.

Why use QphH?

If you’re after fast analytics is important to have high QphH. The faster the database, the higher the QphH value.

Did you know?

The QphH metric is unique to the TPC-H benchmark. Other benchmarks have a different matric suffix, for instance TPC-DS benchmark has a metric called QphDS.

Latest QphH Insights

3 reasons fast databases will never be fast enough

The diversity of today’s technologies in the data management market can be overwhelming, thus many decision makers like to stick to the ‘same old, same old’ big brands. But deep down they know that this strategy has its pitfalls.

See the pitfalls >

Innovation in the Finance Industry with High Performance Analytics

The importance of data analytics, quick query response times, and agility for financial services is beyond doubt. Read about three innovative companies that have taken up the challenge to transform finance.

Read more on fintech >

Technical White Paper: A Drill-Down Into Exasol

What underpins the performace behind the fastest database? Learn more about the Exasol database’s general architecture, query processing, and the specifics of query compilation, query execution, and data access.

Read more on Exasol’s architecture >

Interested in learning more?

Whether you’re looking for more information about our fast, in-memory database, or to discover our latest insights, case studies, video content and blogs and to help guide you into the future of data.