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DBMS > Alibaba Cloud MaxCompute vs. Apache Phoenix vs. Google BigQuery vs. Memcached vs. TDSQL for MySQL

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Phoenix vs. Google BigQuery vs. Memcached vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMemcached  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA scale-out RDBMS with evolutionary schema built on Apache HBaseLarge scale data warehouse service with append-only tablesIn-memory key-value store, originally intended for cachingA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputephoenix.apache.orgcloud.google.com/­bigquerywww.memcached.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputephoenix.apache.orgcloud.google.com/­bigquery/­docsgithub.com/­memcached/­memcached/­wikiwww.tencentcloud.com/­document/­product/­1042
DeveloperAlibabaApache Software FoundationGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTencent
Initial release20162014201020032013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedLinux
Unix
Windows
hostedFreeBSD
Linux
OS X
Unix
Windows
hosted
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesnoyesnonoyes
SQL infoSupport of SQLSQL-like query languageyesyesnoyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBCRESTful HTTP/JSON APIProprietary protocolJDBC
ODBC
Supported programming languagesJavaC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsuser defined functions infoin JavaScriptnoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnonenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoSince BigQuery is designed for querying datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolUsers with fine-grained authorization concept

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Alibaba Cloud MaxComputeApache PhoenixGoogle BigQueryMemcachedTDSQL for MySQL
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