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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Apache Phoenix vs. Google Cloud Datastore vs. Realm vs. Trafodion

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Apache Phoenix vs. Google Cloud Datastore vs. Realm vs. Trafodion

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRealm  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.A scale-out RDBMS with evolutionary schema built on Apache HBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlphoenix.apache.orgcloud.google.com/­datastorerealm.iotrafodion.apache.org
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmphoenix.apache.orgcloud.google.com/­datastore/­docsrealm.io/­docstrafodion.apache.org/­documentation.html
DeveloperAlibabaApache Software FoundationGoogleRealm, acquired by MongoDB in May 2019Apache Software Foundation, originally developed by HP
Initial release2014200820142014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java
Server operating systemshostedLinux
Unix
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Linux
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.yesnononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like query language (GQL)noyes
APIs and other access methodsJDBC
ODBC
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesuser defined functionsusing Google App Engineno inforuns within the applications so server-side scripts are unnecessaryJava Stored Procedures
TriggersyesnoCallbacks using the Google Apps Engineyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Multi-source replication using Paxosnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyes infousing Google Cloud Dataflownoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnoyes infoIn-Memory realmno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standard
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLApache PhoenixGoogle Cloud DatastoreRealmTrafodion
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLApache PhoenixGoogle Cloud DatastoreRealmTrafodion
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