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DBMS > AgensGraph vs. Amazon SimpleDB vs. EsgynDB vs. Ingres vs. Netezza

System Properties Comparison AgensGraph vs. Amazon SimpleDB vs. EsgynDB vs. Ingres vs. Netezza

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonIngres  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWell established RDBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­simpledbwww.esgyn.cnwww.actian.com/­databases/­ingreswww.ibm.com/­products/­netezza
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­simpledbdocs.actian.com/­ingres
DeveloperBitnine Global Inc.AmazonEsgynActian CorporationIBM
Initial release2016200720151974 infooriginally developed at University Berkely in early 1970s2000
Current release2.1, December 201811.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaC
Server operating systemsLinux
OS X
Windows
hostedLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux infoincluded in appliance
Data schemedepending on used data modelschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLyesnoyesyesyes
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesnoJava Stored Proceduresyesyes
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenone infoSharding must be implemented in the applicationShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication between multi datacentersIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
AgensGraphAmazon SimpleDBEsgynDBIngresNetezza infoAlso called PureData System for Analytics by IBM
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