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  1. Stackups
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  4. Databases
  5. PostgreSQL vs restdb.io

PostgreSQL vs restdb.io

OverviewDecisionsComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.1K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
restdb.io
restdb.io
Stacks13
Followers27
Votes2

PostgreSQL vs restdb.io: What are the differences?

Introduction

PostgreSQL and restdb.io are two database management systems that offer different features and capabilities. Understanding their key differences can help in choosing the right system for specific needs.

  1. Data Structure and Management: In PostgreSQL, data is stored in tables with well-defined structures. It supports advanced data types, constraints, triggers, and stored procedures, allowing complex data management. On the other hand, restdb.io follows a document-based NoSQL approach where data is stored in JSON-like documents, enabling flexible and schema-less data structures.

  2. Query Language: PostgreSQL uses SQL (Structured Query Language) for querying and manipulating data. It provides a rich set of SQL features, including joins, aggregations, and advanced querying capabilities like window functions. In contrast, restdb.io uses a custom RESTful API for querying and manipulating data. It follows a URL-based syntax, where various parameters can be used to define queries.

  3. Scalability and Performance: PostgreSQL can handle large volumes of data and provides features like sharding and replication for scalability. It has built-in optimization techniques like query planning and indexing to enhance performance. On the other hand, restdb.io is designed for smaller-scale applications and may not offer the same level of scalability and performance as PostgreSQL.

  4. Hosting and Deployment: PostgreSQL can be self-hosted on different platforms and has support for various cloud providers. It provides more flexibility in terms of hosting and deployment options. In contrast, restdb.io is a fully managed cloud service, providing a hassle-free experience without worrying about infrastructure setup, maintenance, and scaling.

  5. Integration and Ecosystem: PostgreSQL has a large and active community, with extensive support for integration with other systems. It supports various programming languages, frameworks, and libraries. It also has a rich ecosystem of extensions, allowing customization and adding functionality. Restdb.io, on the other hand, may have a more limited ecosystem and integrations compared to PostgreSQL.

  6. Cost: PostgreSQL is an open-source database system, meaning it is free to use. While there may be costs associated with hosting and maintenance, it offers more flexibility in terms of budget-friendly options. On the other hand, restdb.io is a commercial service, and its usage comes with a cost. The pricing structure of restdb.io depends on factors like the number of records, storage, and features required.

In Summary, PostgreSQL offers a powerful relational database management system with advanced features, extensive community support, and flexibility, while restdb.io follows a document-based NoSQL approach and provides a managed cloud service with ease of use and flexibility.

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Advice on PostgreSQL, restdb.io

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
George
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

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
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

PostgreSQL
PostgreSQL
restdb.io
restdb.io

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.

RestDB is a NoSql document oriented database cloud service. Data is accessed as JSON objects via HTTPS. This gives great flexibility, easy system integration and future compatibility.

-
NoSQL + Schema + API; Rich Data Types, Relations and Hierarchy; Data Management and Collaboration web app; Media Archive; Random Data Generator; HTML Pages inside database; Excel,CSV,JSON Import and Export of data; Webhooks, Auth0 external user Authentication
Statistics
GitHub Stars
19.0K
GitHub Stars
-
GitHub Forks
5.2K
GitHub Forks
-
Stacks
103.1K
Stacks
13
Followers
83.9K
Followers
27
Votes
3.6K
Votes
2
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
Pros
  • 2
    Easy, yet powerful, db setup and management
Integrations
No integrations available
Zapier
Zapier
Auth0
Auth0

What are some alternatives to PostgreSQL, restdb.io?

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.

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.

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

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.

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