![]() Several trends drove database market disruption: faster internet, growth in the adoption of modern applications for streaming, gaming, IoT, and more, and modern applications that drive the need for converged streaming data, transactional, and analytical processing for multi-model data. The marketplace saw a retreat from more commonly used SQL to achieve speed and scale, instead favoring the adoption of special-purpose, NoSQL databases, and cheap object storage. History 1999–2010 (First era) Ĭloud data consisted of retrofitting on-premise and general-purpose SQL databases. ![]() The SingleStore database engine can be run in various Linux environments, including on-premises installations, public and private cloud providers, in containers via a Kubernetes operator, or as a hosted service in the cloud known as SingleStore Managed Service. For queries, it compiles Structured Query Language (SQL) into machine code. It supports blended workloads, commonly referred to as HTAP workloads, as well as more traditional OLTP and OLAP use cases. SingleStore primarily stores relational data, though it can also store JSON data, graph data, and time series data. ![]() A distributed, relational, SQL database management system (RDBMS) that features ANSI SQL support, it is known for speed in data ingest, transaction processing, and query processing. SingleStore (formerly MemSQL) is a proprietary, cloud-native database designed for data-intensive applications.
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