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DBMS > Aerospike vs. Alibaba Cloud MaxCompute vs. Axibase vs. IBM Cloudant vs. MonetDB

System Properties Comparison Aerospike vs. Alibaba Cloud MaxCompute vs. Axibase vs. IBM Cloudant vs. MonetDB

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonAxibase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationDatabase as a Service offering based on Apache CouchDBA relational database management system that stores data in columns
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.16
Rank#63  Overall
#10  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
#2  Vector DBMS
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websiteaerospike.comwww.alibabacloud.com/­product/­maxcomputeaxibase.com/­docs/­atsd/­financewww.ibm.com/­products/­cloudantwww.monetdb.org
Technical documentationdocs.aerospike.comwww.alibabacloud.com/­help/­en/­maxcomputecloud.ibm.com/­docs/­Cloudantwww.monetdb.org/­Documentation
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeAlibabaAxibase CorporationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MonetDB BV
Initial release20122016201320102004
Current release7.1, May 202415585Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaErlangC
Server operating systemsLinuxhostedLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoshort, integer, long, float, double, decimal, stringnoyes
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.nononono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languagenoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
Fluentd
Flume
MaxCompute Console
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
JavaGo
Java
PHP
Python
R
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infowith Luauser defined functions infoin JavayesView functions (Map-Reduce) in JavaScriptyes, in SQL, C, R
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceSource-replica replicationMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reduceyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsnonono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
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.yesnono
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAccess rights for users and rolesAccess 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 CitrusleafAlibaba Cloud MaxComputeAxibaseIBM CloudantMonetDB
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 Year-over-Year Recurring Revenue Soars by 51% as Demand for AI Rises
4 September 2024

Aerospike Named to Inc. 5000 List of Fastest-Growing Companies in America for Third Consecutive Year
20 August 2024

BSV Association and Aerospike Achieve 100 Billion BSV Blockchain Transactions Per Day on Teranode
30 July 2024

Aerospike Appoints Venkatesh Guntur as Country Head for Southeast Asia
25 June 2024

Aerospike, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024
5 June 2024

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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 CitrusleafAlibaba Cloud MaxComputeAxibaseIBM CloudantMonetDB
DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17 March 2020,  Srini Srinivasan, Aerospike (sponsor) 

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Recent citations in the news

Aerospike today is uniquely suited to handle AI/ML workloads claims Khushal Bhansali, Country Manager – India & South Asia, Aerospike
19 September 2024, APAC News Network

Aerospike Cloud: Scalable Real-time Database-as-a-Service with AWS SaaS Factory Support
5 July 2024, AWS Blog

Aerospike Year-over-Year Recurring Revenue Soars by 51% as Demand for AI Rises
5 September 2024, Datanami

Aerospike raises $109M for its real-time database platform to capitalize on the AI boom
4 April 2024, TechCrunch

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1 December 2014, Linux.com

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22 March 2014, App Developer Magazine

IBM Code Engine and IBM Cloudant: Serverless Data and Infrastructure
16 August 2021, IBM

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MonetDB Foundation launched
31 January 2024, Centrum Wiskunde & Informatica (CWI)

RDBMS Software Market is Going to Boom | DbVisualizer, MonetDB Foundation, MongoDB
4 September 2024, Daily News Mirror

PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R — Part I
6 April 2018, Data Science Central

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14 January 2020, Towards Data Science

Test of Time Award for paper on vectorized execution
16 January 2024, Centrum Wiskunde & Informatica (CWI)

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