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{{short description|Application architecture by Gartner Inc.}}
{{Use dmy dates|date=October 2017}}
'''Hybrid transaction/analytical processing''' ('''HTAP''') is a term created by [[Gartner Inc.]], an information technology research and advisory company, in its early 2014 research report ''Hybrid Transaction/Analytical Processing Will Foster Opportunities for Dramatic Business Innovation''.<ref name="Gartner 2014">{{cite web |title=Hybrid Transaction/Analytical Processing Will Foster Opportunities for Dramatic Business Innovation |website=Gartner |date=2014-01-28 |url=https://www.gartner.com/en/documents/2657815/hybrid-transaction-analytical-processing-will-foster-opp |access-date=2021-10-04}}</ref> As defined by Gartner: <blockquote>Hybrid transaction/analytical processing (HTAP) is an emerging application architecture that "breaks the wall" between transaction processing and analytics. It enables more informed and "in business real time" decision making.<ref>{{Cite web|url=https://www.gartner.com/doc/3599217/market-guide-htapenabling-inmemory-computing|title=Market Guide for HTAP-Enabling In-Memory Computing Technologies|website=www.gartner.com|access-date=2017-04-15}}</ref><ref name="Gartner 2014" /></blockquote>▼
{{Tone|date=December 2024}}
In more recent reports Gartner has begun referring to HTAP as "augmented transactions."<ref>{{Cite web|url=https://www.gartner.com/en/documents/3955768/hype-cycle-for-data-management-2019|title=Hype Cycle for Data Management, 2019|website=Gartner}}</ref> Another analyst firm [[Forrester Research]] calls the same concept "Translytical"<ref>{{Cite web|url=https://www.forrester.com/report/The-Forrester-Wave-Translytical-Data-Platforms-Q4-2019/RES144975|title=Forrester|website=Forrester}}</ref> while [[451 Group]] calls it "Hybrid operational and analytical processing" or HOAP.<ref>https://mariadb.com/wp-content/uploads/2020/09/enterprises-turn-to-hoap-for-oltp-workloads_analyst-report_1088.pdf {{Bare URL PDF|date=March 2022}}</ref>▼
▲'''Hybrid transaction/analytical processing''' ('''HTAP''') is a term created by [[Gartner Inc.]], an information technology research and advisory company, in its early 2014 research report ''Hybrid Transaction/Analytical Processing Will Foster Opportunities for Dramatic Business Innovation''.<ref name="Gartner 2014">{{cite web |title=Hybrid Transaction/Analytical Processing Will Foster Opportunities for Dramatic Business Innovation |website=Gartner |date=2014-01-28 |url=https://www.gartner.com/en/documents/2657815/hybrid-transaction-analytical-processing-will-foster-opp |access-date=2021-10-04}}</ref> As defined by Gartner: <blockquote>Hybrid transaction/analytical processing (HTAP) is an emerging application architecture that "breaks the wall" between transaction processing and analytics. It enables more informed and "in business real time" decision making.<ref>{{Cite web|url=https://www.gartner.com/doc/3599217/market-guide-htapenabling-inmemory-computing|title=Market Guide for HTAP-Enabling In-Memory Computing Technologies|website=www.gartner.com|access-date=2017-04-15|archive-date=17 May 2017|archive-url=https://web.archive.org/web/20170517023940/https://www.gartner.com/doc/3599217/market-guide-htapenabling-inmemory-computing|url-status=dead}}</ref><ref name="Gartner 2014" /></blockquote>
▲In more recent reports Gartner has begun referring to HTAP as "augmented transactions."<ref>{{Cite web|url=https://www.gartner.com/en/documents/3955768/hype-cycle-for-data-management-2019|title=Hype Cycle for Data Management, 2019|website=Gartner}}</ref> Another analyst firm [[Forrester Research]] calls the same concept "Translytical"<ref>{{Cite web|url=https://www.forrester.com/report/The-Forrester-Wave-Translytical-Data-Platforms-Q4-2019/RES144975|title=Forrester|website=Forrester}}</ref> while [[451 Group]] calls it "Hybrid operational and analytical processing" or HOAP.<ref>{{cite web | title=Enterprises Turn to Hybrid Operational and Analytical Processing for OLTP Workloads | website=mariadb.com | url=https://mariadb.com/wp-content/uploads/2020/09/enterprises-turn-to-hoap-for-oltp-workloads_analyst-report_1088.pdf
==Background==
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==HTAP advantages and challenges==
There are various interpretations of HTAP other than Gartner's original definition; an "emerging architecture". These interpretations suggest different advantages, one being a database functionality. Recent advances in research, hardware, OLTP and OLAP capabilities, [[In-memory database|in-memory]] and cloud native database technologies,<ref>{{Cite web|url=https://azure.microsoft.com/en-us/blog/azure-analytics-clarity-in-an-instant/|title=Azure Analytics: Clarity in an instant|website=azure.microsoft.com|date=19 May 2020 |access-date=2020-06-20}}</ref> scalable transactional management and products enable transactional processing and analytics, or HTAP, to operate on the same database.<ref name=Pezzini /><ref name="Wolpe">Wolpe, Toby. [https://www.zdnet.com/article/sql-and-nosql-fine-but-how-does-the-hybrid-database-fit-in/ "SQL and NoSQL? Fine, but how does the hybrid database fit in?"] ZDNet. 12 May 2014</ref><ref name=Bog />
However, Gartner's most recent reports suggest broader advantages than a single unified database can offer. Traditional application architectures separated transactional and analytical systems. Digital business, and the need to respond to business moments, means that using "after the fact" analysis is no longer adequate. Business moments are transient opportunities that must be exploited in real time. If an organization is unable to recognize and/or respond quickly to a business moment by taking fast and well-informed decisions, then some other organization will, resulting in a missed opportunity (or a new business threat). HTAP allows advanced analytics to be run in real time on "in flight" transaction data, providing an architecture that empowers users to respond more effectively to business moments.<ref>{{Cite web|url=https://www.gartner.com/doc/3352419/enable-digital-business-innovation-hybrid|title=How to Enable Digital Business Innovation via Hybrid Transaction/Analytical Processing|website=www.gartner.com|access-date=2017-04-15}}</ref>
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Some challenges for HTAP include limited industry experience and skills, as well as undefined best practices.<ref name=Pezzini />
In 2020, the first paper in the industry was published by the team of [[PingCAP]] describing the practical implementation of a distributed Hybrid Transactional/Analytical Processing (HTAP) database: [[TiDB]]: A Raft-based HTAP Database.<ref>{{Cite journal |title=TiDB: A Raft-based HTAP Database |url=https://www.vldb.org/pvldb/vol13/p3072-huang.pdf |journal=Proceedings of the VLDB Endowment |volume=13 |issue=12 |pages=3072 |doi=10.14778/3415478.3415535 |s2cid=221666363 |issn=2150-8097}}</ref>
==References==
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