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This is where you’re responsible for deploying a database server across one or more IaaS virtual machines. These are some of the oldest general-purpose databases and are still the most commonly used today. Relational databases are characterized by rows of data within tables that have columns and relationships and are queryable using Structured Query Language (or SQL).
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To give you a valuable in-depth comparison, we’ll focus on the most prevalent general-purpose database services - and we won’t cover SQL data warehouses or the other types of NoSQL databases, like graph, in-memory, time series, ledger, and columnar databases. For relational databases, we’ll cover three different subtypes: Infrastructure as a Service (or IaaS), Platform as a Service (or PasS), and cloud-native PaaS. In this post, we’ll compare the most common types of databases: relational databases (often referred to as SQL databases) and NoSQL databases - specifically key-value databases and document databases. But when you dig under the covers, you find out that there are actually many types of databases. Maybe you’ve maybe of SQL and NoSQL databases. What are the different types of databases?įinally, it’s important to understand that there are different types of databases available. Whereas if a database has a 99.999% SLA (aka known as five nines) it can have 26 seconds of downtime a month.Ĭloud providers apply high-availability architectures to allow for fault tolerance across a subset of the various failure modes. Depending on your specific needs, you’ll want to balance availability, cost, and features to decide which service is best for you.
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AWS vs Azure vs GCP: Cloud provider comparisons