DBMS > HugeGraph vs. MySQL vs. NSDb
System Properties Comparison HugeGraph vs. MySQL vs. NSDb
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||HugeGraph Xexclude from comparison||MySQL Xexclude from comparison||NSDb Xexclude from comparison|
|Description||A fast-speed and highly-scalable Graph DBMS||Widely used open source RDBMS||Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes|
|Primary database model||Graph DBMS||Relational DBMS Key/Value like access via memcached API||Time Series DBMS|
|Secondary database models||Document store|
|Developer||Baidu||Oracle since 2010, originally MySQL AB, then Sun|
|Current release||0.9||8.0.33, April 2023|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||Java||C and C++||Java, Scala|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||yes||yes: int, bigint, decimal, string|
|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|
|Secondary indexes||yes also supports composite index and range index||yes||all fields are automatically indexed|
|SQL Support of SQL||no||yes with proprietary extensions||SQL-like query language|
|APIs and other access methods||Java API|
RESTful HTTP API
Proprietary native API
|Supported programming languages||Groovy|
|Server-side scripts Stored procedures||asynchronous Gremlin script jobs||yes proprietary syntax||no|
|Partitioning methods Methods for storing different data on different nodes||yes depending on used storage backend, e.g. Cassandra and HBase||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes depending on used storage backend, e.g. Cassandra and HBase||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||via hugegraph-spark||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||yes edges in graph||yes not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID not for MyISAM storage engine||no|
|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||Using Apache Lucene|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||Users, roles and permissions||Users with fine-grained authorization concept no user groups or roles|
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||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.
CData: Connect to Big Data & NoSQL through standard Drivers.
Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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.
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.
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|
Turbocharge your MySQL with HeatWave | nasscom | The Official ...
Oracle Support for MySQL 5.7 Ends Soon, Key Upgrades in 8.0
Building and deploying MySQL Raft at Meta
If you don't brush and floss, you're gonna get an abscess – same with MySQL updates
Are you planning ahead for the MySQL 5.7 end of life? [Q&A]
provided by Google News
Mid-Level PHP/MySQL Programmer/Developer
Share this page