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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Google Cloud Spanner vs. Graphite vs. OpenEdge

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Google Cloud Spanner vs. Graphite vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGraphite  Xexclude from comparisonOpenEdge  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperApplication development environment with integrated database management system
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­spannergithub.com/­graphite-project/­graphite-webwww.progress.com/­openedge
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­spanner/­docsgraphite.readthedocs.iodocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAtos Convergence CreatorsGoogleChris DavisProgress Software Corporation
Initial release20192016201720061984
Current release1703OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0commercial
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 languageJavaPython
Server operating systemshostedLinuxhostedLinux
Unix
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesNumeric data onlyyes
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.noyesnonoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011noyes infoclose to SQL 92
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
Sockets
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnonononoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingnonehorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replication with 3 replicas for regional instances.noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
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.yesnono
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers and groups

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More resources
Amazon DocumentDBAtos Standard Common RepositoryGoogle Cloud SpannerGraphiteOpenEdge
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