Opsi Penyimpanan Data untuk Aplikasi Web Berbasis Konten
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Anda dapat menggabungkan teknologi penyimpanan data, bergantung pada kebutuhan
aplikasi web yang berbasis konten. Menggunakan SQL untuk data terstruktur dan penyimpanan {i>cloud <i}
untuk file media adalah pendekatan umum untuk memenuhi beragam kebutuhan penyimpanan.
Opsi penyimpanan data dan modalitas yang efektif meliputi:
| Opsi Penyimpanan |
| SQL |
Penyimpanan Bahasa kueri terstruktur (SQL) menggunakan layanan pengelolaan database relasional (RDBMS)
untuk menyimpan data terstruktur seperti metadata dan data relasional. Opsi ini cocok untuk aplikasi web yang membutuhkan konsistensi data, dukungan transaksional yang kuat, dan kemampuan kueri yang kompleks.
|
| Database NoSQL |
Database NoSQL adalah opsi yang tepat untuk data semi-terstruktur atau tidak terstruktur, seperti aplikasi web berbasis konten dengan skema data yang fleksibel. Contohnya mencakup MongoDB,
Cassandra, dan Couchbase. Keduanya dapat menangani data dalam volume besar, dan memberikan skalabilitas, serta ketersediaan tinggi.
|
| Penyimpanan Nilai-Kunci |
Penyimpanan nilai kunci adalah jenis database NoSQL atau model penyimpanan data yang mengatur dan mengambil data sebagai pasangan nilai kunci. Data disimpan sebagai kumpulan kunci yang terkait dengan nilai terkait. Opsi ini menawarkan kemudahan, performa tinggi, dan efisiensi dalam
menangani data dalam jumlah besar.
|
| CMS |
Platform sistem pengelolaan konten (CMS) menyediakan kemampuan penyimpanan, pengaturan, dan
pengambilan konten bawaan. Contohnya antara lain
WordPress,
Drupal, dan
Joomla.
|
| Mesin Telusur |
Fungsi penelusuran dapat mengindeks dan menelusuri konten tekstual dalam jumlah besar, sehingga meningkatkan performa
penelusuran. Contohnya mencakup Elasticsearch dan Solr.
|
| Cloud Storage |
Solusi penyimpanan berbasis cloud seperti Google Cloud Storage cocok untuk file besar, termasuk video, dokumen, dan gambar. Penyimpanan cloud cocok untuk aplikasi web berbasis konten karena menawarkan skalabilitas, ketahanan, dan fitur penayangan konten.
|
| Penyimpanan Log Peristiwa/Streaming Peristiwa |
Aliran peristiwa atau penyimpanan log peristiwa berfokus pada pengambilan dan penyimpanan peristiwa atau perubahan status sebagai
sumber tepercaya utama dalam aplikasi web. Penyimpanan aliran peristiwa mempertahankan
catatan kronologis semua tindakan atau peristiwa yang terjadi dari waktu ke waktu. Opsi ini berguna jika penggunaan data historis, audit, dan rekonstruksi status sebelumnya diperlukan.
|
| P2P |
Penyimpanan peer-to-peer mendesentralisasi data dengan mendistribusikan data di beberapa node peer
yang terhubung ke jaringan. Karena setiap node peer berkontribusi terhadap ruang penyimpanan, Anda dapat mengambil data
tanpa mengandalkan server pusat atau pusat data.
|
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-25 UTC.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Informasi yang saya butuhkan tidak ada","missingTheInformationINeed","thumb-down"],["Terlalu rumit/langkahnya terlalu banyak","tooComplicatedTooManySteps","thumb-down"],["Sudah usang","outOfDate","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Masalah kode / contoh","samplesCodeIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-07-25 UTC."],[[["\u003cp\u003eContent-driven web applications often benefit from combining different data storage technologies to handle diverse data types.\u003c/p\u003e\n"],["\u003cp\u003eSQL databases excel at managing structured data like metadata, while NoSQL databases and cloud storage are well-suited for semi-structured and unstructured data such as media files.\u003c/p\u003e\n"],["\u003cp\u003eKey-value stores offer efficient retrieval of data using key-value pairs, while content management systems (CMS) provide built-in features for content storage and organization.\u003c/p\u003e\n"],["\u003cp\u003eFor enhanced search capabilities, search engines like Elasticsearch can be integrated, and cloud storage services offer scalability and content delivery features for large files.\u003c/p\u003e\n"]]],["Web applications can leverage various data storage technologies: SQL for structured data, NoSQL databases for flexible schemes, and key-value storage for high-performance data retrieval. Cloud storage is optimal for large media files. Content management systems (CMS) offer built-in storage, while search engines index textual content. Event stream storage captures chronological event records. Peer-to-peer (P2P) storage distributes data across multiple nodes for decentralized access. Combining these methods, such as SQL with cloud storage, is common.\n"],null,["# Data Storage Options for Content-Driven Web Apps\n\nYou can combine data storage technologies depending on the needs of your\ncontent-driven web applications. Using SQL for structured data and cloud storage\nfor media files is a common approach to meet diverse data storage needs.\n\nData storage options and effective modalities include:\n\n| Storage Options ||\n|--------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| SQL | Structured query Language (SQL) storage uses relational database management services (RDBMS) to store structured data such as metadata and relational data. It is a good option for web applications that require data consistency, strong transactional support, and complex querying capabilities. |\n| NoSQL Databases | NoSQL databases are good options for semi-structured or unstructured data such as content-driven web applications with flexible data schemes. Examples include MongoDB, Cassandra, and Couchbase. They can handle large volumes of data, and provide scalability, and high availability. |\n| Key-Value Storage | Key-value storage is a type of NoSQL database or data storage model that organizes and retrieves data as key-value pairs. Data is stored as a collection of keys associated with a corresponding value. This option offers simplicity, high performance, and efficiency in handling large volumes of data. |\n| CMS | Content management systems (CMS) platforms provide built-in content storage, organization, and retrieval capabilities. Examples include [WordPress](https://wordpress.com/), [Drupal](https://www.drupal.org/), and [Joomla](https://www.joomla.org/). |\n| Search Engines | Search functionalities can index and search large volumes of textual content, improving search performance. Examples include Elasticsearch and Solr. |\n| Cloud Storage | Cloud-based storage solutions such as Google Cloud Storage are ideal for large files including videos, documents, and images. Cloud storage is suitable for content-driven web applications since it offers scalability, durability, and content delivery features. |\n| Event Stream/Event Log Storage | Event stream or event log storage focuses on capturing and storing events or state changes as the primary source of truth within a web application. Event stream storage maintains a chronological record of all actions or events that have occurred over time. This option is useful if using historical data, auditing, and reconstructing past states are necessary. |\n| P2P | Peer-to-peer storage decentralizes data by distributing data across multiple peer nodes connected to a network. Since each peer node contributes storage space, you can retrieve data without relying on a central server or data center. |"]]
