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DBMS > Aerospike vs. MonetDB vs. MySQL vs. Spark SQL vs. Trafodion

System Properties Comparison Aerospike vs. MonetDB vs. MySQL vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonMonetDB  Xexclude from comparisonMySQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFlash-optimized In-memory NoSQL DatabaseA relational database management system that stores data in columnsWidely used open source RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Relational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.10
Rank#59  Overall
#11  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteaerospike.comwww.monetdb.orgwww.mysql.comspark.apache.org/­sqltrafodion.apache.org
Technical documentationdocs.aerospike.comwww.monetdb.org/­Documentationdev.mysql.com/­docspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeMonetDB BVOracle infosince 2010, originally MySQL AB, then SunApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20122004199520142014
Current release7.0, November 2023Dec2023 (11.49), December 20238.3.0, January 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availableOpen Source infoMozilla Public License 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageCCC and C++ScalaC++, Java
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions infowith Luayes, in SQL, C, Ryes infoproprietary syntaxnoJava Stored Procedures
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reducenonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsACIDACID infonot for MyISAM storage enginenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Aerospike infopreviously called CitrusleafMonetDBMySQLSpark SQLTrafodion
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
News

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 2023

Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent
28 November 2023

Aerospike Database 7 Delivers Enterprise Resiliency, Scale, and Speed to In-memory Database Workloads
15 November 2023

Aerospike Listed as Sample Vendor in Gartner® Hype Cycle™ for Data Management, 2023
24 October 2023

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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Aerospike infopreviously called CitrusleafMonetDBMySQLSpark SQLTrafodion
DB-Engines blog posts

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Recent citations in the news

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4 April 2024, TechCrunch

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HP Throws Trafodion Hat into OLTP Hadoop Ring
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Evaluating HTAP Databases for Machine Learning Applications
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Low-latency, distributed database architectures are critical for emerging fog applications
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