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DBMS > Alibaba Cloud MaxCompute vs. Apache Phoenix vs. Google BigQuery vs. Google Cloud Bigtable vs. MySQL

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Phoenix vs. Google BigQuery vs. Google Cloud Bigtable vs. MySQL

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMySQL  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 tablesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used open source RDBMS
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSKey-value store
Wide column store
Relational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#225  Overall
#107  Relational DBMS
Score2.97
Rank#106  Overall
#55  Relational DBMS
Score50.03
Rank#24  Overall
#16  Relational DBMS
Score4.84
Rank#80  Overall
#13  Key-value stores
#6  Wide column stores
Score1202.85
Rank#2  Overall
#2  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputephoenix.apache.orgcloud.google.com/­bigquerycloud.google.com/­bigtablewww.mysql.com
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmphoenix.apache.orgcloud.google.com/­bigquery/­docscloud.google.com/­bigtable/­docsdev.mysql.com/­doc
DeveloperAlibabaApache Software FoundationGoogleGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release20162014201020151995
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.0.30, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageJavaC and C++
Server operating systemshostedLinux
Unix
Windows
hostedhostedFreeBSD
Linux
OS X
Solaris
Windows
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.nonononoyes
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLSQL-like query languageyesyesnoyes infowith proprietary extensions
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBCRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJavaC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsuser defined functions infoin JavaScriptnoyes infoproprietary syntax
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoSince BigQuery is designed for querying dataAtomic single-row operationsACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.noyesnonoyes
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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or roles

More information provided by the system vendor

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Alibaba Cloud MaxComputeApache PhoenixGoogle BigQueryGoogle Cloud BigtableMySQL
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