DBMS > MonetDB vs. MySQL vs. ScyllaDB
System Properties Comparison MonetDB vs. MySQL vs. ScyllaDB
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|Editorial information provided by DB-Engines
|MonetDB Xexclude from comparison
|MySQL Xexclude from comparison
|ScyllaDB Xexclude from comparison
|A relational database management system that stores data in columns
|Widely used open source RDBMS
|Cassandra and DynamoDB compatible wide column store
|Primary database model
|Relational DBMS Key/Value like access via memcached API
|Wide column store
|Secondary database models
|Oracle since 2010, originally MySQL AB, then Sun
|Dec2023 (11.49), December 2023
|8.3.0, January 2024
|ScyllaDB Open Source 5.4.1, January 2024
|License Commercial or Open Source
|Open Source Mozilla Public License 2.0
|Open Source GPL version 2. Commercial licenses with extended functionallity are available
|Open Source Open Source (AGPL), commercial license available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
|C and C++
|Server operating systems
|Typing predefined data types such as float or date
|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.
|yes cluster global secondary indices
|SQL Support of SQL
|yes SQL 2003 with some extensions
|yes with proprietary extensions
|SQL-like DML and DDL statements (CQL)
|APIs and other access methods
native C library MAPI library (MonetDB application programming interface)
Proprietary native API
|Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
|Supported programming languages
|Server-side scripts Stored procedures
|yes, in SQL, C, R
|yes proprietary syntax
|Partitioning methods Methods for storing different data on different nodes
|Sharding via remote tables
|horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
|Replication methods Methods for redundantly storing data on multiple nodes
|none Source-replica replication available in experimental status
|selectable replication factor Representation of geographical distribution of servers is possible
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
Tunable Consistency can be individually decided for each write operation
|Foreign keys Referential integrity
|yes not for MyISAM storage engine
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID not for MyISAM storage engine
|no Atomicity and isolation are supported for single operations
|Concurrency Support for concurrent manipulation of data
|yes table locks or row locks depending on storage engine
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes in-memory tables
|User concepts Access control
|fine grained access rights according to SQL-standard
|Users with fine-grained authorization concept no user groups or roles
|Access rights for users can be defined per object
|More information provided by the system vendor
|ScyllaDB is the database for data-intensive apps that require high performance and...
|Highly-performant (efficiently utilizes full resources of a node and network; millions...
|Typical application scenarios
|ScyllaDB is ideal for applications that require high throughput and low latency at...
|Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
|ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
|Licensing and pricing models
|ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
We invite representatives of system vendors to contact us for updating and extending the system information,
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|DB-Engines blog posts
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