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  5. Heroku Postgres vs MariaDB

Heroku Postgres vs MariaDB

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
Heroku Postgres
Heroku Postgres
Stacks607
Followers314
Votes38

Heroku Postgres vs MariaDB: What are the differences?

Key Differences between Heroku Postgres and MariaDB

Heroku Postgres and MariaDB are both popular database management systems used for storing and retrieving data. However, there are several key differences that set them apart from each other.

  1. Data Structure: Heroku Postgres uses a relational data model, meaning that data is organized into tables with predefined schemas, allowing for easier data manipulation and analysis. On the other hand, MariaDB follows a similar relational model but also supports NoSQL functionalities, allowing for more flexibility in data storage and retrieval.

  2. Language Support: Heroku Postgres primarily uses SQL (Structured Query Language) for data querying and manipulation. It supports various SQL standards and provides a robust set of features for SQL-based operations. In contrast, MariaDB supports multiple query languages, including SQL and NoSQL languages like JSON, XML, and SphinxQL, providing more options for developers to work with.

  3. Scalability: Heroku Postgres is designed to be fully managed, meaning that it automatically scales resources based on the database workload. This allows for seamless scaling and handling of high traffic. MariaDB also supports scaling through sharding and replication, but it requires manual configuration and management.

  4. Hosting Environment: Heroku Postgres is a cloud-based database service provided by Heroku, making it easy to integrate with other Heroku services and deploy applications seamlessly. On the other hand, MariaDB is more flexible in terms of hosting environments. It can be deployed on-premises, in the cloud, or in a hybrid environment, depending on the specific needs and preferences of the organization.

  5. Community Support and Ecosystem: Heroku Postgres benefits from the strong support and ecosystem of Heroku and the wider Salesforce organization. It has a large community of developers and provides a range of integration options with other Heroku services. MariaDB also has a vibrant community and an ecosystem of tools and plugins, making it suitable for a variety of use cases.

  6. Licensing: Heroku Postgres is a proprietary offering from Heroku and is part of the Salesforce platform. It requires a subscription and may have usage limitations based on pricing tiers. On the other hand, MariaDB is an open-source database management system released under the GNU General Public License, allowing for free usage and modification.

In summary, Heroku Postgres and MariaDB differ in their data structure, language support, scalability options, hosting environments, community support, and licensing. These differences make them suitable for different use cases and require considerations of factors such as data model requirements, workload patterns, and deployment preferences.

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Advice on MariaDB, Heroku Postgres

Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k
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

MariaDB
MariaDB
Heroku Postgres
Heroku Postgres

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.

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
High Availability;Rollback;Dataclips;Automated Health Checks
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
16.5K
Stacks
607
Followers
12.8K
Followers
314
Votes
468
Votes
38
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Pros
  • 29
    Easy to setup
  • 3
    Extremely reliable
  • 3
    Follower databases
  • 3
    Dataclips for sharing queries
Cons
  • 2
    Super expensive
Integrations
No integrations available
PostgreSQL
PostgreSQL
Heroku
Heroku

What are some alternatives to MariaDB, Heroku Postgres?

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.

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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