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CockroachDB vs MariaDB: What are the differences?

Introduction

CockroachDB and MariaDB are two popular relational database management systems (RDBMS) that are used for storing and managing data. While they share some similarities, there are key differences between them that make them suitable for different use cases. This article will explore the main differences between CockroachDB and MariaDB.

  1. Architecture: CockroachDB is a distributed SQL database that offers automatic data replication and distribution across multiple nodes, allowing for high scalability and fault tolerance. On the other hand, MariaDB follows a traditional master-slave architecture where data is stored and replicated on separate nodes.

  2. Consistency: CockroachDB uses a distributed consensus protocol called Raft to ensure strong consistency across the distributed database. This means that every read operation will return the most recent committed value. In contrast, MariaDB uses asynchronous replication, which can potentially lead to eventual consistency, where reads may return slightly outdated data.

  3. Scaling: CockroachDB is designed to scale horizontally by adding more nodes to the cluster, allowing it to handle increasing workloads. It automatically distributes data across multiple nodes, optimizing performance. MariaDB, on the other hand, scales vertically by adding more resources (such as CPU or RAM) to a single machine or by using replication to offload some of the workload to other machines.

  4. Fault Tolerance: CockroachDB offers built-in fault tolerance by replicating data across multiple nodes, ensuring that even if some nodes fail, the database remains available. It automatically handles data rebalancing and failover. MariaDB also supports replication for fault tolerance, but it requires manual configuration and management of replicas.

  5. SQL Compatibility: CockroachDB is compatible with the PostgreSQL wire protocol, which allows it to work seamlessly with PostgreSQL client libraries and tools. MariaDB is a fork of MySQL and is compatible with MySQL's wire protocol, providing compatibility with existing MySQL applications.

  6. Consistency Models: CockroachDB offers both serializable and snapshot isolation levels, allowing developers to choose the level of consistency required for their application. MariaDB supports various isolation levels, including read committed, repeatable read, and serializable, but it does not offer snapshot isolation.

In Summary, CockroachDB is a distributed SQL database with automatic data replication and fault tolerance, strong consistency, horizontal scaling, PostgreSQL compatibility, and support for multiple consistency models. In contrast, MariaDB follows a traditional master-slave architecture, uses asynchronous replication for fault tolerance, supports MySQL compatibility, and offers a range of isolation levels.

Advice on CockroachDB and MariaDB
Maxim Ryakhovskiy
Needs advice
on
MariaDBMariaDBMongooseMongoose
and
PostgreSQLPostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

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Replies (7)
Reza Malek
at Meam Software Engineering Group · | 4 upvotes · 233.1K views
Recommends
on
MongooseMongoosePostgreSQLPostgreSQL

Your requirements seem nothing special. on the other hand, MongoDB is commonly used with Node. you could use Mongo without defining a Schema, does it give you any benefits? Also, note that development speed matters. In most cases RDBMS are the best choice, Learn and use Postgres for life!

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The use case you are describing would benefit from a self-hosted headless CMS like contentful. You can also go for Strapi with a database of your choice but here you would have to host Strapi and the underlying database (if not using SQLite) yourself. If you want to use Strapi, you can ease your work by using something like PlanetSCaleDB as the backing database for Strapi.

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Nutchanon Ninyawee

SQL is not so good at query lat long out of the box. you might need to use additional tools for that like UTM coordinates or Uber's H3.

If you use mongoDB, it support 2d coordinate query out of the box.

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Recommends
on
MongooseMongoose

Any database will be a great choice for your app, which is less of a technical challenge and more about great content. Go for it, the geographical search features maybe be actually handy for you.

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Tarun Batra
Senior Software Developer at Okta · | 2 upvotes · 225.3K views
Recommends
on
MongooseMongoose

MongoDB and Mongoose are commonly used with Node.js and the use case doesn't seem to be requiring any special considerations as of now. However using MongoDB now will allow you to easily expand and modify your use case in future.

If not MongoDB, then my second choice will be PostgreSQL. It's a generic purpose database with jsonb support (if you need it) and lots of resources online. Nobody was fired for choosing PostgreSQL.

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Václav Hodek
CEO, lead developer at Localazy · | 1 upvotes · 225.7K views
Recommends
on
PostgreSQLPostgreSQL

Any database engine should work well but I vote for Postgres because of PostGIS extension that may be handy for travel related site. There's nothing special about your requirements.

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Ruslan Rayanov
Recommends

Hi, Maxim! Most likely, the site is almost ready. But we would like to share our development with you. https://falcon.web-automation.ru/ This is a constructor for web application. With it, you can create almost any site with different roles which have different levels of access to information and different functionality. The platform is managed via sql. knowing sql, you will be able to change the business logic as necessary and during further project maintenance. We will be glad to hear your feedback about the platform.

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Decisions about CockroachDB and MariaDB
Omran Jamal
CTO & Co-founder at Bonton Connect · | 5 upvotes · 557.1K views

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)

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Pros of CockroachDB
Pros of MariaDB
    Be the first to leave a pro
    • 149
      Drop-in mysql replacement
    • 100
      Great performance
    • 74
      Open source
    • 55
      Free
    • 44
      Easy setup
    • 15
      Easy and fast
    • 14
      Lead developer is "monty" widenius the founder of mysql
    • 6
      Also an aws rds service
    • 4
      Consistent and robust
    • 4
      Learning curve easy
    • 2
      Native JSON Support / Dynamic Columns
    • 1
      Real Multi Threaded queries on a table/db

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    What is CockroachDB?

    CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

    What is 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.

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    What companies use CockroachDB?
    What companies use MariaDB?
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    What tools integrate with MariaDB?

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    What are some alternatives to CockroachDB and MariaDB?
    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.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    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.
    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.
    FoundationDB
    FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.
    See all alternatives