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  1. Stackups
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  4. Databases
  5. PostgreSQL vs YugabyteDB

PostgreSQL vs YugabyteDB

OverviewDecisionsComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
YugabyteDB
YugabyteDB
Stacks50
Followers114
Votes1
GitHub Stars9.9K
Forks1.2K

PostgreSQL vs YugabyteDB: What are the differences?

Introduction

PostgreSQL is a popular open-source relational database management system (RDBMS) that emphasizes extensibility and SQL compliance. It provides advanced features for managing data and supporting complex queries. On the other hand, YugabyteDB is an open-source distributed SQL database that is designed for global deployments and offers high availability, scalability, and fault tolerance.

Key Differences between PostgreSQL and YugabyteDB

  1. Architecture: PostgreSQL follows a traditional monolithic architecture where a single instance manages all storage, processing, and querying. In contrast, YugabyteDB is built on a distributed architecture where data is partitioned and replicated across multiple nodes to ensure high availability and fault tolerance.

  2. Scalability: PostgreSQL has scalability limitations due to its monolithic architecture. It can scale vertically by adding more resources to a single machine, but horizontal scalability is limited. YugabyteDB, with its distributed architecture, allows for seamless horizontal scalability by adding more nodes to the cluster. This enables YugabyteDB to handle large amounts of data and high traffic loads.

  3. High Availability: PostgreSQL offers high availability through features like database replication and streaming replication. However, ensuring high availability requires additional configuration and setup. YugabyteDB, by default, provides automatic high availability with built-in replication and distributed consensus algorithms. It automatically replicates data across nodes and can survive failures without any manual intervention.

  4. Fault Tolerance: PostgreSQL has limited fault tolerance as it relies on a single machine for storage and processing. If the machine fails, it can lead to downtime and data loss. In contrast, YugabyteDB is fault-tolerant by design. It replicates data across multiple nodes, ensuring that there are redundant copies available. If a node fails, the system automatically promotes a replica to maintain availability and durability.

  5. Multi-Region Support: PostgreSQL does not natively support multi-region deployments. In contrast, YugabyteDB is specifically designed for global deployments and provides built-in multi-region support. It allows data to be distributed across different regions, enabling low-latency access to data for globally distributed applications.

  6. ACID Compliance: PostgreSQL is renowned for its support for strong ACID (Atomicity, Consistency, Isolation, Durability) properties, ensuring data integrity and reliability. YugabyteDB also provides ACID compliance but goes a step further by offering distributed transactions. It allows transactions to span multiple nodes and ensures consistency and isolation across the distributed database.

In Summary, PostgreSQL and YugabyteDB differ in their architecture, scalability, high availability, fault tolerance, multi-region support, and support for distributed transactions. YugabyteDB's distributed architecture and built-in features make it an ideal choice for globally distributed applications that require seamless scalability and high availability.

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Advice on PostgreSQL, YugabyteDB

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
YugabyteDB
YugabyteDB

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.

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

-
Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud
Statistics
GitHub Stars
19.0K
GitHub Stars
9.9K
GitHub Forks
5.2K
GitHub Forks
1.2K
Stacks
103.0K
Stacks
50
Followers
83.9K
Followers
114
Votes
3.6K
Votes
1
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
Pros
  • 1
    Compatible with the result of pg_dump
Integrations
No integrations available
Golang
Golang
PHP
PHP
Java
Java
Python
Python
Spring Boot
Spring Boot
Apache Spark
Apache Spark
Node.js
Node.js
C#
C#
Kubernetes
Kubernetes
Ruby
Ruby

What are some alternatives to PostgreSQL, YugabyteDB?

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.

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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