IndexedDB vs PostgreSQL

Overview

PostgreSQL

Stacks103.0K

Followers83.9K

Votes3.6K

GitHub Stars19.0K

Forks5.2K

IndexedDB

Stacks34

Followers97

Votes0

IndexedDB vs PostgreSQL: What are the differences?

Introduction: In this Markdown code, we will discuss the key differences between IndexedDB and PostgreSQL, two popular database management systems.

Data Structure and Query Language: IndexedDB is a NoSQL database that uses a key-value pair structure and JavaScript for querying the data. On the other hand, PostgreSQL is a relational database that uses tables to store data and SQL (Structured Query Language) for data manipulation and retrieval.
Scalability and Performance: IndexedDB is mainly designed for client-side web applications and can only handle small to moderate amounts of data. It is suitable for offline storage and caching. However, PostgreSQL is a server-side database system that can handle large amounts of structured data efficiently, making it more suitable for complex applications that require scalability and high performance.
Data Modeling: While IndexedDB does not enforce any specific data model, PostgreSQL supports a relational data model with tables, columns, and relationships between entities. This allows for organizing and structuring the data more efficiently, enhancing data integrity and supporting complex data relationships.
ACID Compliance: PostgreSQL is ACID-compliant, meaning it guarantees Atomicity, Consistency, Isolation, and Durability for all transactions. On the other hand, IndexedDB does not provide full ACID compliance and is more relaxed in terms of transactional guarantees.
Data Persistence: IndexedDB primarily stores data on the client-side, providing persistent storage even when the application is offline. PostgreSQL, being a server-side database, provides centralized data storage that can be accessed by multiple clients over the network.
Developer Ecosystem and Integration: PostgreSQL has a mature and extensive developer ecosystem with vast community support, offering various libraries, tools, and frameworks for seamless integration with different programming languages and platforms. IndexedDB, being a newer technology mainly focused on web applications, has a smaller ecosystem with limited integration options.

In Summary, IndexedDB and PostgreSQL differ in their data structure, query language, scalability, data modeling capabilities, transactional guarantees, data persistence, and developer ecosystem.

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Advice on PostgreSQL, IndexedDB

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

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

George

Student

Mar 18, 2020

Needs adviceon

PostgreSQL

Python

Django

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k

Comments

Kyle

Web Application Developer at Fortinet

Jun 2, 2020

Decided

MySQL has a lot of strengths working for it. It's simple and easy to set up and use. It's JSON engine is also really good these days. Mongo is also simple to setup and use, and it's speed as a document-object storage engine is first class.

Where Postgres has both beat is in it's combining of all of the features that make both MySQL and Mongo great, while adding on enterprise grade level scalability and replication. It's Postgres' stability and robustness, while still fulfilling the roles of it's contemporaries extremely well that edge Postgre for me.

1.03M views1.03M

Comments

Detailed Comparison

PostgreSQL	IndexedDB
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.	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 19.0K	GitHub Stars -
GitHub Forks 5.2K	GitHub Forks -
Stacks 103.0K	Stacks 34
Followers 83.9K	Followers 97
Votes 3.6K	Votes 0
Pros & Cons
Pros 765 Relational database 511 High availability 439 Enterprise class database 383 Sql 304 Sql + nosql Cons 10 Table/index bloatings	No community feedback yet
Integrations
No integrations available	MongoDB Slick SQLite Knex.js MSSQL

What are some alternatives to PostgreSQL, IndexedDB?

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

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.

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 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

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 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

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 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

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 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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IndexedDB vs PostgreSQL: What are the differences?

Introduction: In this Markdown code, we will discuss the key differences between IndexedDB and PostgreSQL, two popular database management systems.

Data Structure and Query Language: IndexedDB is a NoSQL database that uses a key-value pair structure and JavaScript for querying the data. On the other hand, PostgreSQL is a relational database that uses tables to store data and SQL (Structured Query Language) for data manipulation and retrieval.
Scalability and Performance: IndexedDB is mainly designed for client-side web applications and can only handle small to moderate amounts of data. It is suitable for offline storage and caching. However, PostgreSQL is a server-side database system that can handle large amounts of structured data efficiently, making it more suitable for complex applications that require scalability and high performance.
Data Modeling: While IndexedDB does not enforce any specific data model, PostgreSQL supports a relational data model with tables, columns, and relationships between entities. This allows for organizing and structuring the data more efficiently, enhancing data integrity and supporting complex data relationships.
ACID Compliance: PostgreSQL is ACID-compliant, meaning it guarantees Atomicity, Consistency, Isolation, and Durability for all transactions. On the other hand, IndexedDB does not provide full ACID compliance and is more relaxed in terms of transactional guarantees.
Data Persistence: IndexedDB primarily stores data on the client-side, providing persistent storage even when the application is offline. PostgreSQL, being a server-side database, provides centralized data storage that can be accessed by multiple clients over the network.
Developer Ecosystem and Integration: PostgreSQL has a mature and extensive developer ecosystem with vast community support, offering various libraries, tools, and frameworks for seamless integration with different programming languages and platforms. IndexedDB, being a newer technology mainly focused on web applications, has a smaller ecosystem with limited integration options.

In Summary, IndexedDB and PostgreSQL differ in their data structure, query language, scalability, data modeling capabilities, transactional guarantees, data persistence, and developer ecosystem.