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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. IndexedDB vs MySQL

IndexedDB vs MySQL

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
IndexedDB
IndexedDB
Stacks34
Followers97
Votes0

IndexedDB vs MySQL: What are the differences?

Introduction

IndexedDB and MySQL are two widely used database systems that serve different purposes and have distinct features. In this article, we will explore the key differences between the two.

  1. Data Structure and Query Language: IndexedDB is a NoSQL database that stores data in key-value pairs, allowing for flexible and unstructured data storage. It uses a JavaScript API for querying and manipulating data. On the other hand, MySQL is a relational database management system (RDBMS) that uses a structured query language (SQL) for defining, manipulating, and querying data in a tabular format with predefined schemas.

  2. Scalability and Performance: IndexedDB is designed to handle large amounts of data and can scale well for web applications. It provides asynchronous operations, which allow for better performance when working with large datasets. MySQL, on the other hand, can also handle large datasets but may require more careful planning and optimization for optimal performance. It can handle complex queries efficiently due to its highly optimized query execution engine.

  3. Data Consistency and Transactions: IndexedDB supports transactions, which ensure data consistency and prevent data corruption in case of failures or concurrent access. It provides transactional guarantees to maintain data integrity. MySQL also supports transactions and provides strong consistency guarantees, ensuring atomicity, consistency, isolation, and durability (ACID) properties for data manipulation.

  4. Data Persistence: IndexedDB is a client-side database that stores data directly in the web browser. It allows offline access and provides automatic data sync when the user reconnects to the internet. MySQL, on the other hand, is a server-side database that stores data on a central server. It requires a network connection to access and manipulate data.

  5. Security and Authentication: IndexedDB does not provide built-in security mechanisms and does not offer authentication or encryption features out of the box. Any security measures need to be implemented by the web application itself. MySQL, on the other hand, provides robust security features with user authentication, role-based access control, and data encryption options to protect sensitive data.

  6. Deployment and Maintenance: IndexedDB does not require any special setup or installation as it is built into modern web browsers. It does not need separate deployment or maintenance efforts. MySQL, on the other hand, requires installation and setup on a server and needs ongoing maintenance and performance tuning to ensure optimal operation.

In Summary, IndexedDB is a client-side NoSQL database designed for web applications, offering flexibility and scalability, while MySQL is a server-side RDBMS that provides structured data storage, transactional support, and strong consistency guarantees.

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Advice on MySQL, IndexedDB

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
IndexedDB
IndexedDB

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.

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
GitHub Stars
11.8K
GitHub Stars
-
GitHub Forks
4.1K
GitHub Forks
-
Stacks
129.6K
Stacks
34
Followers
108.6K
Followers
97
Votes
3.8K
Votes
0
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
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 MySQL, 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.

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.

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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