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GrapheneDB VS MySQL

Compare GrapheneDB VS MySQL and see what are their differences

GrapheneDB logo GrapheneDB

Graph databases as-a-service

MySQL logo MySQL

The world's most popular open source database
  • GrapheneDB Landing page
    Landing page //
    2023-07-23
  • MySQL Landing page
    Landing page //
    2022-06-17

GrapheneDB features and specs

  • Scalability
    GrapheneDB offers effortless scaling options that cater to growing data needs, allowing businesses to adapt and expand without significant infrastructure changes.
  • Graph Database Expertise
    GrapheneDB is dedicated to providing specialized support and optimization specifically for graph databases, ensuring performance and reliability for graph-related operations.
  • Managed Hosting
    The platform offers fully managed hosting services, which reduce the need for in-house database administration and infrastructure maintenance.
  • Ease of Use
    GrapheneDB provides a user-friendly interface with tools that simplify the management and deployment of graph databases even for those with limited technical expertise.
  • Security
    The service prioritizes data security through robust encryption, regular backups, and compliance with industry standards, protecting sensitive information.

Possible disadvantages of GrapheneDB

  • Cost
    For small businesses or individual developers, the pricing model of GrapheneDB may be considered expensive, especially compared to open-source alternatives.
  • Dependency on Cloud
    Relying on a cloud service can lead to issues with control over data and infrastructure, including potential downtimes or changes in service terms.
  • Limited to Neo4j
    GrapheneDB is specifically designed for Neo4j databases, which may not be suitable for users who wish to explore other graph database technologies.
  • Vendor Lock-in
    Using a specific platform could result in vendor lock-in, where transferring data or switching providers becomes complex and resource-intensive.
  • Potential Performance Issues
    Depending on the scale and specific use case, users may encounter performance limits that require a custom setup not fully offered by managed solutions.

MySQL features and specs

  • Reliability
    MySQL is known for its reliability and durability, making it a solid choice for many businesses' database management needs.
  • Performance
    It offers robust performance, handling large databases and complex queries efficiently.
  • Open Source
    MySQL is an open-source database, making it freely available under the GNU General Public License (GPL).
  • Scalability
    MySQL supports large-scale applications and can handle high volumes of transactions.
  • Community Support
    There is a large, active MySQL community that offers extensive resources, documentation, and support.
  • Cross-Platform
    MySQL is compatible with various operating systems like Windows, Linux, and macOS.
  • Integrations
    MySQL integrates well with numerous development frameworks, including LAMP (Linux, Apache, MySQL, PHP/Python/Perl).
  • Security
    MySQL offers various security features, such as user account management, password policies, and encrypted connections.
  • Cost
    The open-source nature of MySQL means that it can be very cost-effective, especially for small to medium-sized businesses.

Possible disadvantages of MySQL

  • Support
    While community support is plentiful, official support from Oracle can be quite expensive.
  • Complexity
    More advanced features and configurations can be complex and may require a steep learning curve for new users.
  • Scalability Limitations
    While MySQL is scalable, very high-scale applications may run into limitations compared to some newer database technologies.
  • Plug-in Storage Engines
    The use of plug-in storage engines like InnoDB or MyISAM can cause inconsistencies and complicate backups and recovery processes.
  • ACID Compliance
    Although MySQL supports ACID compliance, certain configurations or storage engines may not fully adhere to ACID properties, affecting transaction reliability.
  • Concurrent Writes
    Handling a high number of concurrent writes can be less efficient compared to some other database systems designed specifically for high concurrency.
  • Feature Set
    Some advanced features found in other SQL databases (e.g., full-text indexing, rich analytics) may be less robust or absent.
  • Vendor Dependency
    With Oracle now owning MySQL, there can be concerns about licensing changes or other forms of vendor lock-in.
  • Replication Complexities
    Setting up replication and ensuring data consistency across distributed systems can be complex and error-prone.

GrapheneDB videos

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MySQL videos

MySQL IN 10 MINUTES (2020) | Introduction to Databases, SQL, & MySQL

More videos:

  • Review - A Review of MySQL Open Source Software

Category Popularity

0-100% (relative to GrapheneDB and MySQL)
Graph Databases
100 100%
0% 0
Databases
4 4%
96% 96
Relational Databases
0 0%
100% 100
NoSQL Databases
9 9%
91% 91

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GrapheneDB and MySQL

GrapheneDB Reviews

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MySQL Reviews

MariaDB Vs MySQL In 2019: Compatibility, Performance, And Syntax
MySQL: MySQL is an open-source relational database management system (RDBMS). Just like all other relational databases, MySQL uses tables, constraints, triggers, roles, stored procedures and views as the core components that you work with. A table consists of rows, and each row contains a same set of columns. MySQL uses primary keys to uniquely identify each row (a.k.a...
Source: blog.panoply.io
20+ MongoDB Alternatives You Should Know About
MySQL® is another feasible replacement. MySQL 5.7 and MySQL 8 have great support for JSON, and it continues to get better with every maintenance release. You can also consider MySQL Cluster for medium size sharded environments. You can also consider MariaDB and Percona Server for MySQL
Source: www.percona.com

Social recommendations and mentions

Based on our record, MySQL seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GrapheneDB mentions (0)

We have not tracked any mentions of GrapheneDB yet. Tracking of GrapheneDB recommendations started around Mar 2021.

MySQL mentions (4)

  • I have a recurring issue with a MySQL DB where I continually run out of disk space due to logs being filled. I've tried everything I can think of. Can anyone think of anything else I should try?
    So, I did a quick read through the mysql reference and found a bunch of flush related commands. I tried:. Source: almost 2 years ago
  • MMORPG design resources
    MySQL: Any SQL or DB knock-off, really... mysql.com - mariadb.org - sqlite.org. Source: over 2 years ago
  • Probably a syntax error
    15 years and five strokes ago. I was a Unix sysadmin. ALthough I was never an actual programmer, I did maintenance/light enhancement for the organization's website, in php. Now, as self-administered cognative therapy, I'm going back to it. This is an evil HR application that uses the mysql.com employees sample database. The module below enables the evil HR end user to generate a list of the oldest workers so... Source: almost 4 years ago
  • An absolute nightmare with mysql 8.0.25
    I always use the packages from mysql.com, that way I don't have to deal with strange configuration stuff along those lines, but anyway, I'm afraid I'm out of ideas. Surely someone else would have run in to the same issue here though. Source: almost 4 years ago

What are some alternatives?

When comparing GrapheneDB and MySQL, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Apache TinkerPop - Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Grapholytic - grapholytic by MIOsoft produces results from the combination of a Graph DB and a scalable object database architecture.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.