Online transaction processing (OLTP) is a type of database system used in transaction-oriented applications, such as many operational systems. "Online"...

provide the scalability of NoSQL systems for online transaction processing (OLTP) workloads while maintaining the ACID guarantees of a traditional database...

transaction processing (OLTP) is characterized by a large number of short on-line transactions (INSERT, UPDATE, DELETE). OLTP systems emphasize very fast...

commonly used for running online transaction processing (OLTP), data warehousing (DW) and mixed (OLTP & DW) database workloads. Oracle Database is available...

row-oriented formats are more commonly used in Online transaction processing (OLTP) and column-oriented formats are more commonly used in Online analytical...

column-oriented search engine), P*TIME (in-memory online transaction processing (OLTP) Platform acquired by SAP in 2005), and MaxDB with its in-memory liveCache...

instantaneous data processing, or online transaction processing (OLTP), led to widespread OLTP use in government and business-sector information systems. Online...

Service. Exadata is designed to run all Oracle Database workloads, such as OLTP, Data Warehousing, Analytics, and AI vector processing, often with multiple...

Hekaton (also known as SQL Server In-Memory OLTP) is an in-memory database for OLTP workloads built into Microsoft SQL Server. Hekaton was designed in...

Operational database management systems (also referred to as OLTP databases or online transaction processing databases), are used to update data in real-time...

benchmark used to compare the performance of online transaction processing (OLTP) systems. This industry standard was published in August 1992, and eventually...

Oracle PL/SQL Microsoft Transact-SQL (T-SQL) Online transaction processing (OLTP) Online analytical processing (OLAP) Data warehouse Relational data stream...

databases (for example, SQLite) DuckDB is not focusing on transactional (OLTP) applications and instead is specialized for online analytical processing...

modification of the traditional database term online transaction processing (OLTP). OLAP tools enable users to analyse multidimensional data interactively...

workloads, commonly referred to as HTAP workloads, as well as more traditional OLTP and OLAP use cases. For queries, it compiles Structured Query Language (SQL)...

in OLTP performance. Greenplum 6 was reviewed in the media by several sources and mentioned for its Postgres open source alignment and for its OLTP performance...

Apache TinkerPop of the Apache Software Foundation. Gremlin works for both OLTP-based graph databases as well as OLAP-based graph processors. Gremlin's automata...

discovery Online analytical processing (OLAP) Online transaction processing (OLTP) Spatial ETL Ralph., Kimball (2004). The data warehouse ETL toolkit : practical...

in September 2020. TiDB can support both online transaction processing (OLTP) and online analytical processing (OLAP) workloads. TiDB has two storage...

Michael (June 16, 2011). "NewSQL: An Alternative to NoSQL and Old SQL for New OLTP Apps". Communications of the ACM Blog. Retrieved February 22, 2020. Hoff...

such as write caching, I/O acceleration, and online transaction processing (OLTP). The PX02SS series uses 12 Gbit/s SAS interface, featuring MLC NAND flash...

modeling; Gremlin is an Apache Software Foundation graph traversal language for OLTP and OLAP graph systems. GraphQL is a data query language developed by Facebook...

functionality. The Informix database has been used in many high transaction rate OLTP applications in the retail, finance, energy and utilities, manufacturing...

implementation. Tests conducted by Red Hat showed a doubling in performance for OLTP benchmarks. Extended Page Tables (EPT) is an Intel second-generation x86...

shared-nothing architecture, and is derived from work done by Stonebraker on OLTP system performance and optimization. It is available in both enterprise and...

workloads as well as hyper-scale big data and streaming workloads including OLTP, data warehousing, Spark, machine learning, text search, image analytics...

callback Claim check SOA Data architecture Transaction data stores (TDS/OLTP) Master data store Operational data store Big data Data mart Data warehouse...

index."1 For database query optimizers, sargable is an important property in OLTP workloads because it suggests a good query plan can be obtained by a simple...

processing, as contrasted to interactive online transaction processing (OLTP) applications. The extract, transform, load (ETL) step in populating data...

Computerworld withdrew the paper. In contrast to "on-line transaction processing" (OLTP), OLAP defines a database technology optimized for processing human queries...