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DBMS > MariaDB vs. Splice Machine vs. Yaacomo

System Properties Comparison MariaDB vs. Splice Machine vs. Yaacomo

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Editorial information provided by DB-Engines
NameMariaDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score106.42
Rank#12  Overall
#8  Relational DBMS
Score0.86
Rank#185  Overall
#89  Relational DBMS
Score0.00
Rank#348  Overall
#146  Relational DBMS
Websitemariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
splicemachine.comyaacomo.com
Technical documentationmariadb.com/­kb/­en/­librarydoc.splicemachine.com
DeveloperMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Splice MachineQ2WEB GmbH
Initial release200920142009
Current release10.6.5, November 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SkySQL (The Ultimate MariaDB Cloud): The first and only DBaaS to bring the full power of MariaDB Platform to the cloud, combining powerful enterprise features and world-class support with unrivaled ease of use and groundbreaking innovation.
Implementation languageC and C++Java
Server operating systemsFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyes infoDynamic columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
JDBC
Native Spark Datasource
ODBC
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoPL/SQL compatibility added with version 10.3yes infoJava
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesseveral options for horizontal partitioning and ShardingShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infonot for in-memory storage engineyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infowith MEMORY storage engineyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
MariaDBSplice MachineYaacomo
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB has many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
News

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11 June 2021

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1 June 2021

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6 May 2021

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23 April 2021

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15 April 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MariaDBSplice MachineYaacomo
DB-Engines blog posts

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

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Recent citations in the news

Back up and restore MySQL/MariaDB data for a website: Here's how
7 January 2022, TechRepublic

Principled Technologies Study Compares MariaDB Performance Between Two Sets of Google Cloud Platform Configurations with Different Generations of Intel Processors
6 January 2022, PR.com

Enterprise Database Management System (DBMS) Market Is Booming Worldwide : Teradata, MongoDB, Google Cloud, MarkLogic
25 January 2022, Digital Journal

Five risks of moving your database to the cloud
25 January 2022, MIT Technology Review

MariaDB Announces New Innovation Release Model
9 December 2021, Business Wire

provided by Google News

Splice Machine Announces New Capabilities to Support Real-Time AI with Version 3.1 of its Scale-Out SQL Database
9 March 2021, PRNewswire

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PRNewswire

Splice Machine database travels full circle to predictive application platform
25 September 2017, ZDNet

Splice Machine 3.0 Offers New and Improved SQL Updates
15 January 2020, Database Trends and Applications

provided by Google News

Staying power: the growing impact of PostgreSQL on enterprise marks Postgres Vision 2021
15 June 2021, SiliconANGLE News

provided by Google News

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