databasesthat

Databasesthat is not a recognized term in database science. It is the concatenation of the words databases and that as it appears in English sentences that introduce relative clauses describing particular sets of databases. In technical writing, phrases like “databases that support ACID transactions” or “databases that scale horizontally” are common and are used to specify criteria for comparison or selection.

In practice, databasesthat is a linguistic construct rather than a technology. The phrase serves to identify databases with certain features, properties, or capabilities. Writers use it to group options and to explain how one database differs from another based on the highlighted requirements.

Databases can be broadly categorized into relational databases, NoSQL databases, graph databases, and time-series databases, among others. Across these categories, clauses introduced by that help describe core characteristics such as data model (tabular, document, key-value, graph), query language (SQL, declarative queries, graph traversals), consistency and transactions (ACID, eventual consistency), scalability (vertical vs horizontal), and availability. This descriptive form also appears in vendor comparisons and product briefs, where stakeholders assess suitability for workloads like OLTP, analytics, or real-time processing.

When selecting a database, practitioners frequently enumerate “databases that” meet specific criteria, for example, “databases that support JSON data types and multi-document ACID transactions” or “databases that offer strong read/write performance with automatic sharding.” Such usage supports objective comparison by features, performance, and compatibility with existing systems.