DBMS > Amazon DocumentDB vs. MySQL vs. Trafodion
System Properties Comparison Amazon DocumentDB vs. MySQL vs. Trafodion
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Amazon DocumentDB Xexclude from comparison||MySQL Xexclude from comparison||Trafodion Xexclude from comparison|
|Description||Fast, scalable, highly available, and fully managed MongoDB-compatible database service||Widely used open source RDBMS||Transactional SQL-on-Hadoop DBMS|
|Primary database model||Document store||Relational DBMS Key/Value like access via memcached API||Relational DBMS|
|Secondary database models||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||Apache Software Foundation, originally developed by HP|
|Current release||8.0.32, January 2023||2.3.0, February 2019|
|License Commercial or Open Source||commercial||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||C and C++||C++, Java|
|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||no|
|SQL Support of SQL||no||yes with proprietary extensions||yes|
|APIs and other access methods||proprietary protocol using JSON (MongoDB compatible)||ADO.NET|
Proprietary native API
|Supported programming languages||Go|
|All languages supporting JDBC/ODBC/ADO.Net|
|Server-side scripts Stored procedures||no||yes proprietary syntax||Java Stored Procedures|
|Partitioning methods Methods for storing different data on different nodes||none||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas||Multi-source replication|
|yes, via HBase|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||no||yes via user defined functions and HBase|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||yes not for MyISAM storage engine||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-document operations||ACID not for MyISAM storage engine||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||Access rights for users and roles||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Percona: Database problems? Not on your watch.|
Databases run better with Percona.
SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
CData: Connect to Big Data & NoSQL through standard Drivers.
PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Get started with a PlanetScale database today for free.
DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
MySQL is the DBMS of the Year 2019 MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire
MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire
The struggle for the hegemony in Oracle's database empire
|Recent citations in the news|
AWS Lambda now supports Amazon DocumentDB change streams as an event source
Amazon DocumentDB (with MongoDB compatibility) adds support ...
AWS Announces GA of DocumentDB Elastic Clusters
AWS Technology: Architecting(10 questions) — Part 3 | by Roman ...
provided by Google News
Oracle adds machine learning features to MySQL HeatWave
Oracle Adds New AI-Enabling Features To MySQL HeatWave
Oracle's MySQL HeatWave gets embedded machine learning ...
Creating a database from scratch: Part 2 - MySQL
3.4 times more Oracle MySQL transactions with Pliops' SSD array ...
provided by Google News
The Apache® Software Foundation Announces Annual Report for ...
How Facebook Accelerates SQL at Extreme Scale
provided by Google News
Database Engineering Manager, Amazon Games - LiveOps Infrastructure
Senior Software Engineer - Python/MongoDB
AWS Site Reliability Engineer
Mid-Level PHP/MySQL Programmer/Developer
Senior MySQL Database Administrator
Product Manager (Remote)
Share this page