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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. Postgresql As A Service
  5. Amazon RDS for PostgreSQL vs Firebird

Amazon RDS for PostgreSQL vs Firebird

OverviewDecisionsComparisonAlternatives

Overview

Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
Stacks814
Followers607
Votes40
Firebird
Firebird
Stacks83
Followers121
Votes9
GitHub Stars1.4K
Forks263

Amazon RDS for PostgreSQL vs Firebird: What are the differences?

<Amazon RDS for PostgreSQL and Firebird are two popular database management systems that offer unique features and capabilities. In this comparison, we will explore the key differences between the two platforms.>

  1. License: One of the main differences between Amazon RDS for PostgreSQL and Firebird is the licensing. Amazon RDS for PostgreSQL is a managed service provided by Amazon Web Services (AWS) and is based on the open-source PostgreSQL database, which is licensed under the PostgreSQL License. On the other hand, Firebird is an open-source relational database system that is distributed under the Initial Developer's Public License.

  2. Supported Platforms: Another key difference is the supported platforms for Amazon RDS for PostgreSQL and Firebird. Amazon RDS for PostgreSQL is a cloud-based service that can run on AWS infrastructure, making it ideal for applications deployed on the AWS cloud. Firebird, on the other hand, is a standalone database system that can be installed on a variety of platforms, including Windows, Linux, and macOS.

  3. Scalability: Amazon RDS for PostgreSQL offers scalability features such as read replicas and automatic storage scaling, making it easier to handle growing workloads. Firebird also supports replication and clustering for scalability, but it may require additional configuration and setup compared to Amazon RDS for PostgreSQL.

  4. Performance: In terms of performance, Amazon RDS for PostgreSQL may offer better performance optimizations and tuning options due to its integration with AWS services like Amazon CloudWatch and AWS CloudFormation. Firebird also provides performance tuning capabilities, but it may require more manual configuration and maintenance compared to Amazon RDS for PostgreSQL.

  5. Backup and Recovery: Amazon RDS for PostgreSQL offers automated backups, snapshots, and point-in-time recovery to help users protect their data and recover from potential disasters. Firebird also provides backup and recovery mechanisms, but the process may be more manual and may require third-party tools or scripts for comprehensive backup strategies.

  6. Community Support: Amazon RDS for PostgreSQL benefits from the extensive PostgreSQL community, which provides resources, forums, and documentation to help users troubleshoot issues and optimize their database performance. Firebird also has a dedicated community of users and developers, but it may have a smaller support ecosystem compared to PostgreSQL.

In Summary, the key differences between Amazon RDS for PostgreSQL and Firebird lie in their licensing, supported platforms, scalability options, performance tuning capabilities, backup and recovery mechanisms, and community support structures.

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Advice on Amazon RDS for PostgreSQL, Firebird

Lonnie
Lonnie

CEO - Co-founder US, Mexico Binational Tech Start-up Accelerator, Incubator at Framework Science

May 9, 2019

ReviewonAmazon DynamoDBAmazon DynamoDBAmazon RDS for PostgreSQLAmazon RDS for PostgreSQL

We use Amazon RDS for PostgreSQL because RDS and Amazon DynamoDB are two distinct database systems. DynamoDB is NoSQL DB whereas RDS is a relational database on the cloud. The pricing will mainly differ in the type of application you are using and your requirements. For some applications, both DynamoDB and RDS, can serve well, for some it might not. I do not think DynamoDB is cheaper. Right now we are helping Companies in Silicon Valley and in Southern California go SERVERLESS - drastically lowering costs if you are interested in hearing how we go about it.

9.18k views9.18k
Comments
Jorge
Jorge

Jan 15, 2020

Needs advice

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

51.8k views51.8k
Comments

Detailed Comparison

Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
Firebird
Firebird

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, MacOS and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981.

Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.;DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.;Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.;Automated Backups – Turned on by default, the automated backup feature of Amazon RDS enables point-in-time recovery for your DB Instance.;DB Snapshots – DB Snapshots are user-initiated backups of your DB Instance.;Pre-configured Parameters – Amazon RDS for PostgreSQL deployments are pre-configured with a sensible set of parameters and settings appropriate for the DB Instance class you have selected.;PostGIS;Language Extensions :PL/Perl, PL/pgSQL, PL/Tcl;Full Text Search Dictionaries;Advanced Data Types : HStore, JSON;Core PostgreSQL engine features
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Statistics
GitHub Stars
-
GitHub Stars
1.4K
GitHub Forks
-
GitHub Forks
263
Stacks
814
Stacks
83
Followers
607
Followers
121
Votes
40
Votes
9
Pros & Cons
Pros
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
Pros
  • 3
    Open-Source
  • 3
    Free
  • 1
    Great Performance
  • 1
    Easy Setup
  • 1
    Upgrade from MySQL, MariaDB, PostgreSQL
Cons
  • 2
    Speed

What are some alternatives to Amazon RDS for PostgreSQL, Firebird?

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.

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.

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