Dokumentasi dan resource untuk memigrasikan dan mengelola data perusahaan dengan keamanan, keandalan, ketersediaan tinggi, dan layanan data yang terkelola sepenuhnya di Google Cloud.
Pelajari cara mendesain, membuat, mengelola, memigrasikan, dan memecahkan masalah database yang digunakan oleh aplikasi untuk menyimpan dan mengambil data.open_in_new
Produk database berdasarkan kasus penggunaan
Perluas bagian atau gunakan filter untuk menemukan produk dan panduan untuk kasus penggunaan umum.
Database non-relasional
Luaskan bagian ini untuk melihat produk dan dokumentasi yang relevan.
Aplikasi yang berjalan di Google Cloud dapat mencapai performa ekstrem dengan memanfaatkan layanan Memcached yang skalabel, tersedia, aman, dan terkelola.
Informasi umum tentang opsi Cloud SQL, yang masing-masing merupakan layanan database terkelola sepenuhnya untuk membantu Anda menyiapkan, memelihara, mengelola, dan mengatur database relasional Anda.
Layanan database yang terkelola sepenuhnya membantu Anda menyiapkan, memelihara, mengelola, dan mengatur database relasional MySQL Anda di Google Cloud.
Layanan database yang terkelola sepenuhnya membantu Anda menyiapkan, memelihara, mengelola, dan mengatur database relasional PostgreSQL Anda di Google Cloud.
Penyimpanan yang dioptimalkan untuk menjalankan kueri analisis pada set data besar serta penyerapan streaming dengan throughput tinggi dan pembacaan dengan throughput tinggi.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-10 UTC."],[[["\u003cp\u003eExplore Google Cloud's fully-managed database services, offering security, reliability, and high availability for enterprise data management and migration.\u003c/p\u003e\n"],["\u003cp\u003eAccess a wide range of database resources, including documentation, architecture guides, use cases, and best practices for both single and multicloud environments.\u003c/p\u003e\n"],["\u003cp\u003eDiscover various database products tailored for different use cases, encompassing non-relational (NoSQL) options like Bigtable, Datastore, and Firestore, as well as relational options such as AlloyDB for PostgreSQL, Spanner, and Cloud SQL.\u003c/p\u003e\n"],["\u003cp\u003eUtilize migration tools like the Database Migration Service and Datastream for seamless data transfer and replication to Cloud SQL.\u003c/p\u003e\n"],["\u003cp\u003eLearn how to design, create, manage, migrate, and troubleshoot databases through the Database Engineer learning path, in addition to other training courses, and blog articles.\u003c/p\u003e\n"]]],[],null,["# Databases\n=========\n\nDocumentation and resources for migrating and managing enterprise data with security, reliability, high availability, and fully-managed data services on Google Cloud.\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nExplore databases in Google Cloud\n---------------------------------\n\nRead documentation and Cloud Architecture Center articles about database-related products, capabilities, and procedures. \n[account_tree](/architecture/databases) \n\n### [Database resources](/architecture/databases)\n\nPlan your approach with Architecture Center resources across a variety of database topics.[open_in_new](/architecture/databases) \n[account_tree](/architecture/multi-cloud-database-management) \n\n### [Multicloud database management](/architecture/multi-cloud-database-management)\n\nPlan with architectures, use cases, and best practices for multicloud database management.[open_in_new](/architecture/multi-cloud-database-management)\n\nTraining, blog articles, and more\n---------------------------------\n\nGo to training courses, blog articles, and other related resources. \n[school](https://www.cloudskillsboost.google/paths/22) \n\n### [Database engineer learning path](https://www.cloudskillsboost.google/paths/22)\n\nStudy how to design, create, manage, migrate, and troubleshoot databases used by applications to store and retrieve data.[open_in_new](https://www.cloudskillsboost.google/paths/22)\n\nDatabase products by use case\n-----------------------------\n\nExpand sections or use the filter to find products and guides for typical use cases. \n\n### Non-relational databases\n\n\nExpand this section to see relevant products and documentation. \n\n#### [Bigtable](/bigtable/docs)\n\nStore terabytes or petabytes of data using a NoSQL wide-column database service. \n\n#### [Datastore](/datastore/docs)\n\nA NoSQL document database built for automatic scaling, high performance, and ease of application development. \n\n#### [Firestore with MongoDB compatibility](/firestore/mongodb-compatibility/docs)\n\nA NoSQL document database with MongoDB compatibility built for automatic scaling, high performance, and ease of application development. \n\n#### [Firestore in Native mode](/firestore/native/docs)\n\nA flexible, scalable NoSQL document database for mobile, web, and server development. \n\n#### [Memorystore for Memcached](/memorystore/docs/memcached)\n\nApplications running on Google Cloud can achieve extreme performance by leveraging the scalable, available, secure, and managed Memcached service. \n\n#### [Memorystore for Redis](/memorystore/docs/redis)\n\nAchieve extreme performance using a managed in-memory data store service. \n\n#### [Memorystore for Redis Cluster](/memorystore/docs/cluster)\n\nAchieve extreme performance using a managed in-memory Redis Cluster service. \n\n#### [Spanner Graph](/spanner/docs/graph)\n\nGet high-performance graph database capabilities with unparalleled scalability, availability, and consistency.\n\n### Relational databases\n\n\nExpand this section to see relevant products and documentation. \n\n#### [AlloyDB for PostgreSQL](/alloydb/docs)\n\nA fully-managed, PostgreSQL-compatible database for demanding transactional workloads. \n\n#### [Spanner](/spanner/docs)\n\nBack your apps with a mission-critical, global-scale database service. \n\n#### [Cloud SQL](/sql/docs)\n\nGeneral information about the Cloud SQL options, each a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases. \n\n#### [Cloud SQL for MySQL](/sql/docs/mysql)\n\nA fully-managed database service that helps you set up, maintain, manage, and administer your MySQL relational databases on Google Cloud. \n\n#### [Cloud SQL for PostgreSQL](/sql/docs/postgres)\n\nA fully-managed database service that helps you set up, maintain, manage, and administer your PostgreSQL relational databases on Google Cloud. \n\n#### [Cloud SQL for SQL Server](/sql/docs/sqlserver)\n\nA managed database service that helps you set up, maintain, manage, and administer your SQL Server databases on Google Cloud.\n\n### Migration\n\n\nExpand this section to see relevant products and documentation. \n\n#### [Database Migration Service](/database-migration/docs)\n\nServerless, easy, minimal downtime migrations to Cloud SQL. \n\n#### [Datastream](/datastream/docs)\n\nA serverless and easy-to-use change data capture (CDC) and replication service.\n\n### Fleet Management\n\n\nExpand this section to see relevant products and documentation. \n\n#### [Database Center](/database-center/docs)\n\nFleet management solution that gives you one centralized view across your entire database fleet.\n\n### Related products, guides, and sites\n\n#### [BigQuery](/bigquery/docs)\n\nUnderstand your data using a fully managed, highly scalable data warehouse with built-in ML. \n\n#### [BigLake in BigQuery](/bigquery/docs/biglake-intro)\n\nQuery structured data in external data stores with access delegation. \n\n#### [BigQuery Storage](/bigquery/docs/storage_overview)\n\nStorage optimized for running analytic queries over large datasets and high-throughput streaming ingestion and high-throughput reads."]]
