{"id":12005,"count":572,"description":"Many new database systems are emerging for specific purposes, replacing the era of the single-purpose database. Enterprises will have to choose between the ease of use of more general-use databases and the performance of the new databases over the next few years.\r\n\r\nThe era of the <\/span>single-use database is over<\/span><\/a> and we are seeing a plethora of new database systems built for specific tasks (<\/span>distributed key value stores<\/span><\/a>, <\/span>NewSQL<\/span><\/a>, <\/span>graph databases<\/span><\/a>, etc). Over the next few years there will be some shakeout in the industry as enterprises decide between the tradeoff of performance that the new databases bring versus the ease-of-use that more general use databases (<\/span>MySQL<\/span><\/a>, <\/span>PostgreSQL<\/span><\/a>) offer.<\/span>\r\n\r\nOf particular note is the <\/span>emergence of streaming data<\/span><\/a>, which requires data to be analyzed while still in the server's memory. Here, Kafka and other technologies supplant the traditional <\/span>Hadoop<\/span><\/a> and <\/span>Spark<\/span><\/a>-based <\/span>big data tools<\/span><\/a>.\u00a0 Also, there is the ongoing challenge of fitting stateful database workloads into <\/span>\"stateless\" cloud-native architectures<\/span><\/a>.<\/span>\r\n\r\n

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