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Software used to manage, maintain, and access data stored in structured tables. - Store and organize data in columns and rows - Manage simultaneous access of the same data by multiple users - Use Structured Query Language (SQL) to manipulate and view data - Establish ACID (Atomicity, Consistency, Isolation, Durability) compliance of stored data
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Amazon Aurora is a MySQL and PostgreSQL compatible relational database built for the cloud, that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Teradata Vantage? is the cloud data analytics platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Leading the way with hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of your business. Deploy Vantage however you want: on public clouds (such as AWS, Azure, and Google Cloud), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware. With zero up-front costs, pay-as-you-go-pricing, and portable licenses between deployment options, Vantage is a modern solution that adapts as your needs change. Only Vantage's enterprise-grade, multidimensional scalability lets you scale dimensions simultaneously to handle the massive data workloads of the future, today.
A cloud native database with high performance, storage capacity, and compatibility
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SingleStore is a cloud database available on leading public clouds and delivers elastic scalability, high availability and exceptional price-performance for your applications, without the burden of managing your data infrastructure. SingleStore scales storage independently of compute and includes Jupyter notebooks, data integration services and a compute service for running AI workloads — meaning developers, ML engineers and data engineers can quickly build awesome things together.
Dremio is the easy and open data lakehouse, providing an intuitive UI that enables data teams to get started with analytics in minutes, as well as the flexibility to use Dremio’s lightning-fast SQL query service and any other data processing engine. Dremio increases agility with a revolutionary data-as-code approach that adopts Git concepts to enable data experimentation, version control, and governance. In addition, Dremio breaks down data silos by simplifying ingestion into the lakehouse, and allowing queries directly on databases and data warehouses. All of this is available through a fully managed service that not only eliminates the need to maintain infrastructure and software, but also automatically optimizes the data in the lakehouse to maximize performance for every workload.