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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. PerconaXtraDBCluster vs PgTyped

PerconaXtraDBCluster vs PgTyped

OverviewComparisonAlternatives

Overview

PerconaXtraDBCluster
PerconaXtraDBCluster
Stacks52
Followers36
Votes0
GitHub Stars368
Forks152
PgTyped
PgTyped
Stacks2
Followers10
Votes0
GitHub Stars3.2K
Forks106

PerconaXtraDBCluster vs PgTyped: What are the differences?

<!--Introduction-->
  1. Data Consistency: PerconaXtraDBCluster ensures strong consistency across all nodes in the cluster, guaranteeing that all nodes have the same data at any given time. On the other hand, PgTyped provides eventual consistency, where changes may take some time to propagate to all nodes, allowing for better performance but potentially leading to occasional inconsistencies.

  2. Database Engine: PerconaXtraDBCluster is based on the InnoDB storage engine, a highly reliable and widely used engine in MySQL databases. In contrast, PgTyped is specifically designed for PostgreSQL databases, utilizing the efficiency and advanced features unique to PostgreSQL.

  3. High Availability: PerconaXtraDBCluster offers advanced high availability features, such as automatic failover and synchronous replication, to ensure continuous availability of the database even in the event of node failures. PgTyped also provides high availability capabilities but may require additional setup and configuration to achieve the same level of reliability as PerconaXtraDBCluster.

  4. Sharding Support: PerconaXtraDBCluster supports sharding by enabling data distribution across multiple nodes, allowing for horizontal scalability and improved performance for large datasets. PgTyped does not directly support sharding, although PostgreSQL itself offers options for horizontal partitioning that can be leveraged to achieve similar scalability benefits.

  5. Documentation and Community Support: PerconaXtraDBCluster benefits from extensive documentation and a strong community of users and developers, offering resources for troubleshooting, optimization, and best practices. While PgTyped also has documentation and community support, the level of resources may vary compared to PerconaXtraDBCluster due to differences in popularity and adoption.

  6. Concurrency Control: PerconaXtraDBCluster uses Galera Cluster technology to manage concurrent read and write operations, providing efficient conflict resolution and multi-threaded replication to ensure data consistency. PgTyped relies on PostgreSQL's built-in concurrency control mechanisms, such as MVCC, to handle concurrent transactions and ensure data integrity.

<!--Summary-->

In Summary, PerconaXtraDBCluster and PgTyped differ in data consistency, database engine, high availability features, sharding support, documentation, community support, and concurrency control mechanisms.

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Detailed Comparison

PerconaXtraDBCluster
PerconaXtraDBCluster
PgTyped
PgTyped

Percona XtraDB Cluster is an active/active high availability and high scalability open source solution for MySQL® clustering. It integrates Percona Server and Percona XtraBackup with the Codership Galera library of MySQL high availability solutions in a single package that enables you to create a cost-effective MySQL high availability cluster.

It makes it possible to use raw SQL in TypeScript with guaranteed type-safety. No need to map or translate your DB schema to TypeScript, it automatically generates types and interfaces for your SQL queries by using your running Postgres database as the source of type information.

ProxySQL load balancer; Multi-master replication; Synchronous replication; Data at rest encryption; Improved SST Security through simplified configuration; Easy to setup encrypted between-nodes communication; Increased read/write scalability; Zero Data Loss; ProxySQL-assisted Percona XtraDB Cluster maintenance mode; Automatic node provisioning; Percona XtraDB Cluster "strict-mode"; Percona Monitoring and Management compatibility;
Automatically generates TS types for parameters/results of SQL queries of any complexity; Supports extracting and typing queries from both SQL and TS files; Generate query types as you write them, using watch mode; Useful parameter interpolation helpers for arrays and objects; No need to define your DB schema in TypeScript, your running DB is the live source of type data; Prevents SQL injections by not doing explicit parameter substitution. Instead, queries and parameters are sent separately to the DB driver, allowing parameter substitution to be safely done by the PostgreSQL server
Statistics
GitHub Stars
368
GitHub Stars
3.2K
GitHub Forks
152
GitHub Forks
106
Stacks
52
Stacks
2
Followers
36
Followers
10
Votes
0
Votes
0
Integrations
No integrations available
PostgreSQL
PostgreSQL
TypeScript
TypeScript

What are some alternatives to PerconaXtraDBCluster, PgTyped?

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

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