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DBMS > Aerospike vs. Blazegraph vs. Couchbase vs. IBM Cloudant vs. MariaDB

System Properties Comparison Aerospike vs. Blazegraph vs. Couchbase vs. IBM Cloudant vs. MariaDB

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonBlazegraph  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMariaDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionFlash-optimized In-memory NoSQL DatabaseHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseDatabase as a Service offering based on Apache CouchDBMySQL 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.
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Graph DBMS
RDF store
Document storeDocument storeRelational DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.51
Rank#59  Overall
#11  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score19.15
Rank#36  Overall
#5  Document stores
Score2.79
Rank#113  Overall
#21  Document stores
Score95.03
Rank#13  Overall
#9  Relational DBMS
Websiteaerospike.comblazegraph.comwww.couchbase.comwww.ibm.com/­products/­cloudantmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationdocs.aerospike.comwiki.blazegraph.comdocs.couchbase.comcloud.ibm.com/­docs/­Cloudantmariadb.com/­kb/­en/­library
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeBlazegraphCouchbase, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release20122006201120102009 infoFork of MySQL, which was first released in 1995
Current release7.0, November 20232.1.5, March 2019Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 202311.3.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availableOpen Source infoextended commercial license availableOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercialOpen Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC, C++, Go and ErlangErlangC and C++
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
hostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesnoyes
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.nonoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languageSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnoyes infowith proprietary extensions
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infowith LuayesFunctions and timers in JavaScript and UDFs in Java, Python, SQL++View functions (Map-Reduce) in JavaScriptyes infoPL/SQL compatibility added with version 10.3
Triggersnonoyes infovia the TAP protocolyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic ShardingShardingseveral options for horizontal partitioning and Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication infoincluding cross data center replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reducenoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsACIDACIDno infoatomic operations within a document possibleACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes infonot for in-memory storage engine
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoEphemeral bucketsnoyes infowith MEMORY storage engine
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlySecurity and Authentication via Web Application Container (Tomcat, Jetty)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Access rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
Aerospike infopreviously called CitrusleafBlazegraphCouchbase infoOriginally called MembaseIBM CloudantMariaDB
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
MariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
MariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
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Web, SaaS and Cloud operational applications that require high availability, scalability...
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Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
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Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
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MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
MariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
News

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

Aerospike Announces Availability of Developer-ready, Real-time Scalable Graph Database on Google Cloud Marketplace
28 August 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Aerospike infopreviously called CitrusleafBlazegraphCouchbase infoOriginally called MembaseIBM CloudantMariaDB
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Recent citations in the news

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

Aerospike Named to Inc. 5000 2023 List of Fastest-Growing Companies in America
16 August 2023, GlobeNewswire

Aerospike Graph: the Latest Entry in the Graph Database Market
8 November 2023, hackernoon.com

Aerospike invades the graph database space with a little help from Apache TinkerPop
20 June 2023, VentureBeat

Aerospike takes on Neo4j and TigerGraph with launch of graph database
20 June 2023, SiliconANGLE News

provided by Google News

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19 August 2023, MarkTechPost

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Harnessing GPUs Delivers a Big Speedup for Graph Analytics
15 December 2015, Datanami

Faster with GPUs: 5 turbocharged databases
26 September 2016, InfoWorld

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26 March 2024, GlobeNewswire

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