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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
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
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
Score146.50
Rank#9  Overall
#6  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputephoenix.apache.orgcloud.google.com/­bigquerycloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmphoenix.apache.orgcloud.google.com/­bigquery/­docscloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperAlibabaApache Software FoundationGoogleGoogleMicrosoft
Initial release20162014201020151992
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial infoBundled with Microsoft Office
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.
Implementation languageJavaC++
Server operating systemshostedLinux
Unix
Windows
hostedhostedWindows infoNot a real database server, but making use of DLLs
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 infobut not compliant to any SQL standard
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
DAO
ODBC
OLE DB
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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsuser defined functions infoin JavaScriptnoyes infosince Access 2010 using the ACE-engine
Triggersnonononoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneShardingnone
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 zonesnone
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)
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoSince BigQuery is designed for querying dataAtomic single-row operationsACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003

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More resources
Alibaba Cloud MaxComputeApache PhoenixGoogle BigQueryGoogle Cloud BigtableMicrosoft Access
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