Bigtable 是 Google 面向 NoSQL 大数据的数据库服务。它也是为 Google 搜索、Analytics、Google 地图和 Gmail 等众多核心 Google 服务提供支持的数据库。Bigtable 的设计目标是以稳定的低延迟和高吞吐性能处理巨量的工作负载,因此它是运营和分析型应用(包括 IoT、用户分析和金融数据分析)的理想之选。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-08-26。"],[[["\u003cp\u003eBigtable is Google's NoSQL Big Data database service, powering core Google services like Search, Analytics, Maps, and Gmail.\u003c/p\u003e\n"],["\u003cp\u003eBigtable is designed for massive workloads with consistent low latency and high throughput, making it suitable for operational and analytical applications.\u003c/p\u003e\n"],["\u003cp\u003eBigtable supports Apache HBase 1.0+ and 2.0+ APIs and offers a Bigtable HBase client in Maven for use with Dataproc.\u003c/p\u003e\n"],["\u003cp\u003eThe Bigtable Spark connector allows reading and writing data from and to Bigtable within Spark applications, using Spark SQL and DataFrames.\u003c/p\u003e\n"],["\u003cp\u003eData Boost serverless compute is available for high-throughput read-only jobs and queries, preventing impact on application-serving cluster traffic.\u003c/p\u003e\n"]]],[],null,["# Bigtable with Dataproc\n\n[Bigtable](/bigtable) is Google's NoSQL Big Data database\nservice. It's the same database that powers many core Google services, including\nSearch, Analytics, Maps, and Gmail. Bigtable is designed to\nhandle massive workloads at consistent low latency and high throughput, so it's\na great choice for both operational and analytical applications, including IoT,\nuser analytics, and financial data analysis.\n\nBigtable is an excellent option for any Apache Spark or Hadoop\nuses that require [Apache HBase](https://hbase.apache.org/).\nBigtable supports the [Apache HBase](https://hbase.apache.org/)\n1.0+ and 2.0+ APIs, and offers a [Bigtable HBase client in\nMaven](/bigtable/docs/using-maven) to use Bigtable with\nDataproc.\n\nUse the Bigtable Spark connector\n--------------------------------\n\nThe Bigtable Spark connector lets you read and write data from\nand to Bigtable. You can read data from within your Spark\napplication using Spark SQL and DataFrames. For read-only jobs, you can use\n[Data Boost serverless compute](/bigtable/docs/data-boost-overview),\nData Boost is designed for the performance requirements of high-throughput jobs\nand queries, and it lets you avoid impacting your application-serving cluster\ntraffic when those jobs and queries are run.\n\nFor more information, see [Use the Bigtable Spark\nconnector](/bigtable/docs/use-bigtable-spark-connector).\n\nWhat's next\n-----------\n\n- For more information about using Bigtable, see the [Bigtable](/bigtable/docs/overview) documentation."]]