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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. MySQL vs OrientDB

MySQL vs OrientDB

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
OrientDB
OrientDB
Stacks77
Followers107
Votes14

MySQL vs OrientDB: What are the differences?

Introduction:

MySQL and OrientDB are both popular databases used for storing and managing data. While both serve the same purpose, they differ in several key aspects that can impact their usability and performance. Below are six key differences between MySQL and OrientDB.

  1. Data Model: MySQL is a relational database management system (RDBMS) that uses tables to store data in a structured format with predefined schemas. On the other hand, OrientDB is a multi-model database that supports multiple data models like document, graph, and object-oriented. This flexibility allows OrientDB to adapt to different types of data structures and relationships.

  2. Scalability: MySQL is known for its robust scalability capabilities, but it primarily relies on horizontal scaling through sharding and replication. In contrast, OrientDB is designed to be horizontally scalable out of the box, making it easier to distribute data across multiple nodes without the same level of complexity involved in setting up sharding in MySQL.

  3. Query Language: MySQL uses SQL (Structured Query Language) for querying data, which is a standard language for relational databases. OrientDB, on the other hand, supports SQL as well as its own query language called Gremlin for graph traversals. This makes OrientDB more versatile when working with complex graph-based data structures.

  4. Data Relationships: In MySQL, relationships between tables are typically defined through foreign keys, enforcing referential integrity. In OrientDB, relationships between records are established using edges in a graph structure, allowing for more flexible and dynamic connections between data points without the need for strict adherence to predefined schemas.

  5. ACID Compliance: Both MySQL and OrientDB are ACID-compliant databases, ensuring data integrity and consistency. However, OrientDB offers multi-master replication out of the box, enabling better support for distributed environments and high availability compared to MySQL's traditional master-slave replication setup.

  6. Native Support for JSON: OrientDB has native support for JSON (JavaScript Object Notation) data, allowing for seamless integration of JSON documents within the database. While MySQL also supports JSON data through its JSON data type and functions, OrientDB's native support provides more efficient storage and retrieval of JSON documents.

In Summary, MySQL and OrientDB differ in their data models, scalability approaches, query languages, data relationships, ACID compliance, and native support for JSON, making each database more suitable for specific use cases based on these distinctions.

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Advice on MySQL, OrientDB

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
OrientDB
OrientDB

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.

It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.

Statistics
GitHub Stars
11.8K
GitHub Stars
-
GitHub Forks
4.1K
GitHub Forks
-
Stacks
129.6K
Stacks
77
Followers
108.6K
Followers
107
Votes
3.8K
Votes
14
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
Pros
  • 4
    Great graphdb
  • 2
    Great support
  • 2
    Open source
  • 1
    Embeddable
  • 1
    ACID
Cons
  • 4
    Unstable

What are some alternatives to MySQL, OrientDB?

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.

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.

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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