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DBMS > 4D vs. Alibaba Cloud AnalyticDB for MySQL vs. Atos Standard Common Repository vs. Google Cloud Datastore vs. SiteWhere

System Properties Comparison 4D vs. Alibaba Cloud AnalyticDB for MySQL vs. Atos Standard Common Repository vs. Google Cloud Datastore vs. SiteWhere

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSiteWhere  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemA 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.Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Document storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.4d.comwww.alibabacloud.com/­product/­analyticdb-for-mysqlatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastoregithub.com/­sitewhere/­sitewhere
Technical documentationdeveloper.4d.comwww.alibabacloud.com/­help/­doc-detail/­93776.htmcloud.google.com/­datastore/­docssitewhere1.sitewhere.io/­index.html
Developer4D, IncAlibabaAtos Convergence CreatorsGoogleSiteWhere
Initial release1984201620082010
Current releasev20, April 20231703
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsOS X
Windows
hostedLinuxhostedLinux
OS X
Windows
Data schemeyesyesSchema and schema-less with LDAP viewsschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesoptionalyes, details hereyes
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.yesyesyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92yesnoSQL-like query language (GQL)no
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
LDAPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
Supported programming languages4D proprietary IDE
PHP
C#
Java
PHP
Python
All languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesnousing Google App Engine
TriggersyesyesyesCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infocell divisionShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud serviceyesMulti-source replication using Paxosselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 Consistency
Foreign keys infoReferential integrityyesyesnoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesnono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept
More information provided by the system vendor
4D infoformer name: 4th DimensionAlibaba Cloud AnalyticDB for MySQLAtos Standard Common RepositoryGoogle Cloud DatastoreSiteWhere
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...
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More resources
4D infoformer name: 4th DimensionAlibaba Cloud AnalyticDB for MySQLAtos Standard Common RepositoryGoogle Cloud DatastoreSiteWhere
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