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DBMS > Alibaba Cloud MaxCompute vs. BoltDB vs. Memcached vs. Microsoft Azure Cosmos DB vs. Netezza

System Properties Comparison Alibaba Cloud MaxCompute vs. BoltDB vs. Memcached vs. Microsoft Azure Cosmos DB vs. Netezza

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBoltDB  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn embedded key-value store for Go.In-memory key-value store, originally intended for cachingGlobally distributed, horizontally scalable, multi-model database serviceData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­boltdb/­boltwww.memcached.orgazure.microsoft.com/­services/­cosmos-dbwww.ibm.com/­products/­netezza
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­azure/­cosmos-db
DeveloperAlibabaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftIBM
Initial release20162013200320142000
Current release1.6.27, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoBSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
hostedLinux infoincluded in appliance
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes infoJSON typesyes
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.nono
Secondary indexesnononoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query languageyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
Proprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
OLE DB
Supported programming languagesJavaGo.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin JavanonoJavaScriptyes
TriggersnononoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesnoyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights can be defined down to the item levelUsers with fine-grained authorization concept

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More resources
Alibaba Cloud MaxComputeBoltDBMemcachedMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNetezza infoAlso called PureData System for Analytics by IBM
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