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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Netezza vs. SAP HANA vs. Stardog

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Netezza vs. SAP HANA vs. Stardog

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSAP HANA  Xexclude from comparisonStardog  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 networksData warehouse and analytics appliance part of IBM PureSystemsIn-memory, column based data store. Available as appliance or cloud serviceEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­netezzawww.sap.com/­products/­hana.htmlwww.stardog.com
Technical documentationaws.amazon.com/­documentdb/­resourceshelp.sap.com/­hanadocs.stardog.com
DeveloperAtos Convergence CreatorsIBMSAPStardog-Union
Initial release20192016200020102010
Current release17032.0 SPS07 (AprilĀ 4, 2023), April 20237.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinuxLinux infoincluded in applianceAppliance or cloud-serviceLinux
macOS
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnono infoImport/export of XML data possible
Secondary indexesyesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoyesyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPJDBC
ODBC
OLE DB
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonoyesSQLScript, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesnoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replicationyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACIDACIDACID
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationUsers with fine-grained authorization conceptyesAccess rights for users and roles

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More resources
Amazon DocumentDBAtos Standard Common RepositoryNetezza infoAlso called PureData System for Analytics by IBMSAP HANAStardog
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