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  5. Azure SQL Database vs IndexedDB

Azure SQL Database vs IndexedDB

OverviewDecisionsComparisonAlternatives

Overview

Azure SQL Database
Azure SQL Database
Stacks585
Followers502
Votes13
IndexedDB
IndexedDB
Stacks34
Followers97
Votes0

Azure SQL Database vs IndexedDB: What are the differences?

# Introduction
When deciding between Azure SQL Database and IndexedDB for your web application, it is essential to understand the key differences between the two technologies to make an informed decision. Below are six critical distinctions that can help you choose the right database solution for your project.

1. **Data Structure**: Azure SQL Database is a relational database management system that organizes data in tables with rows and columns, suitable for structured data with complex relationships. On the other hand, IndexedDB is a NoSQL database that stores data in key-value pairs, ideal for unstructured or semi-structured data where flexibility is crucial.

2. **Hosting Environment**: Azure SQL Database is a cloud-based service provided by Microsoft, which ensures high availability, scalability, and maintenance-free operations for users. In contrast, IndexedDB is a client-side database supported by web browsers, allowing for offline access and data storage within the browser itself.

3. **Query Language**: Azure SQL Database supports Transact-SQL (T-SQL), a powerful query language for retrieving and modifying data based on SQL standards, enabling complex data manipulation and reporting capabilities. In contrast, IndexedDB uses JavaScript for data manipulation, offering greater control and flexibility but with a steeper learning curve for developers.

4. **Scalability**: Azure SQL Database provides automatic scaling options to handle varying workloads and data growth, ensuring performance and resource optimization. IndexedDB's scalability, on the other hand, depends on the user's device and browser capabilities, which might limit its performance for large datasets or complex applications.

5. **Persistence**: Azure SQL Database ensures data persistence through backup and disaster recovery mechanisms, safeguarding data integrity and availability even in the event of failures. IndexedDB's persistence is limited to the user's browser environment, and data may be lost if the browser cache is cleared or the user switches devices.

6. **Security**: Azure SQL Database offers robust security features such as encryption, authentication, and role-based access control, ensuring data protection and compliance with industry standards. IndexedDB, being a client-side database, relies on the security measures implemented by the web browser, potentially exposing data to security risks if not properly managed.

In Summary, understanding the structural, environmental, query language, scalability, persistence, and security differences between Azure SQL Database and IndexedDB is crucial to choosing the appropriate database solution for your web application.

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Advice on Azure SQL Database, IndexedDB

Anonymous
Anonymous

May 17, 2020

Needs advice

I'm currently developing an app that ranks trending stuff ( such as games, memes or movies, etc. ) or events in a particular country or region. Here are the specs: My app does not require registration and requires cookies and localStorage to track users. Users can add new entries to each trending category provided that their country of origin is recorded in cookies. If each category contains more than 100 items then the oldest items get deleted. The question is: what kind of database should I use for managing this app? Thanks in advance

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Detailed Comparison

Azure SQL Database
Azure SQL Database
IndexedDB
IndexedDB

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

This API uses indexes to enable high-performance searches of this data. While Web Storage is useful for storing smaller amounts of data, it is less useful for storing larger amounts of structured data.

-
Stores key-pair values; It is not a relational database; IndexedDB API is mostly asynchronous; It is not a structured query language; It has supported to access the data from same domain.
Statistics
Stacks
585
Stacks
34
Followers
502
Followers
97
Votes
13
Votes
0
Pros & Cons
Pros
  • 6
    Managed
  • 4
    Secure
  • 3
    Scalable
No community feedback yet
Integrations
No integrations available
MongoDB
MongoDB
Slick
Slick
SQLite
SQLite
Knex.js
Knex.js
MSSQL
MSSQL

What are some alternatives to Azure SQL Database, IndexedDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Amazon RDS

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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