Amazon RDS for Aurora vs PgHero

Overview

PgHero

Stacks22

Followers38

Votes0

GitHub Stars8.7K

Forks468

Amazon Aurora

Stacks807

Followers745

Votes55

Amazon RDS for Aurora vs PgHero: What are the differences?

Introducing the key differences between Amazon RDS for Aurora and PgHero:

Database Type: Amazon RDS for Aurora is a fully managed MySQL and PostgreSQL-compatible relational database while PgHero is a performance dashboard for PostgreSQL databases specifically. Aurora provides high availability and scalability, whereas PgHero focuses on monitoring and analyzing PostgreSQL database performance.
Managed Service: Amazon RDS for Aurora is a fully managed service by AWS, which handles routine database tasks like patching, backups, and scaling automatically. On the other hand, PgHero is an open-source tool that needs to be deployed and managed by the user or database administrator.
Features: Amazon RDS for Aurora offers advanced features like Multi-AZ deployments, Read Replicas, and Global Databases for cross-region replication. PgHero, on the other hand, provides detailed insights into query performance, index usage, and database health metrics needed for optimizing PostgreSQL databases.
Scalability: Aurora is designed for high-performance and can scale out to accommodate growing workloads through Read Replicas and auto-scaling features. PgHero does not offer built-in scalability features but focuses on performance monitoring and tuning to improve the efficiency of existing PostgreSQL databases.
Monitoring Capabilities: Amazon RDS for Aurora includes monitoring tools like Amazon CloudWatch for tracking database metrics, alarms, and logs. PgHero provides a user-friendly web interface to visualize PostgreSQL performance metrics, slow queries, and table usage statistics for proactive database maintenance.
Cost Model: Aurora's pricing is based on instance hours, storage, and I/O requests, with options for pay-as-you-go or reserved instances. PgHero, being an open-source project, is free to use but requires deployment resources and maintenance effort from the user's end.

In Summary, Amazon RDS for Aurora focuses on providing a fully managed, scalable relational database solution with support for both MySQL and PostgreSQL, while PgHero offers a specialized tool for PostgreSQL database monitoring and performance optimization.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

PgHero	Amazon Aurora
Postgres performance insights made easy.	Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
Live query stats;Available as a ruby gems;System stats for Amazon RDS;	High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics
Statistics
GitHub Stars 8.7K	GitHub Stars -
GitHub Forks 468	GitHub Forks -
Stacks 22	Stacks 807
Followers 38	Followers 745
Votes 0	Votes 55
Pros & Cons
No community feedback yet	Pros 14 MySQL compatibility 12 Better performance 10 Easy read scalability 9 Speed 7 Low latency read replica Cons 2 Vendor locking 1 Rigid schema
Integrations
PostgreSQL Ruby Rails	PostgreSQL MySQL

What are some alternatives to PgHero, Amazon Aurora?

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.

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

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.

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Related Comparisons

Amazon RDS for Aurora vs PgHero: What are the differences?

Introducing the key differences between Amazon RDS for Aurora and PgHero:

Database Type: Amazon RDS for Aurora is a fully managed MySQL and PostgreSQL-compatible relational database while PgHero is a performance dashboard for PostgreSQL databases specifically. Aurora provides high availability and scalability, whereas PgHero focuses on monitoring and analyzing PostgreSQL database performance.
Managed Service: Amazon RDS for Aurora is a fully managed service by AWS, which handles routine database tasks like patching, backups, and scaling automatically. On the other hand, PgHero is an open-source tool that needs to be deployed and managed by the user or database administrator.
Features: Amazon RDS for Aurora offers advanced features like Multi-AZ deployments, Read Replicas, and Global Databases for cross-region replication. PgHero, on the other hand, provides detailed insights into query performance, index usage, and database health metrics needed for optimizing PostgreSQL databases.
Scalability: Aurora is designed for high-performance and can scale out to accommodate growing workloads through Read Replicas and auto-scaling features. PgHero does not offer built-in scalability features but focuses on performance monitoring and tuning to improve the efficiency of existing PostgreSQL databases.
Monitoring Capabilities: Amazon RDS for Aurora includes monitoring tools like Amazon CloudWatch for tracking database metrics, alarms, and logs. PgHero provides a user-friendly web interface to visualize PostgreSQL performance metrics, slow queries, and table usage statistics for proactive database maintenance.
Cost Model: Aurora's pricing is based on instance hours, storage, and I/O requests, with options for pay-as-you-go or reserved instances. PgHero, being an open-source project, is free to use but requires deployment resources and maintenance effort from the user's end.

Amazon RDS for Aurora vs PgHero

Overview