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DBMS > AgensGraph vs. Amazon DynamoDB vs. Blazegraph vs. Netezza

System Properties Comparison AgensGraph vs. Amazon DynamoDB vs. Blazegraph vs. Netezza

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHosted, scalable database service by Amazon with the data stored in Amazons cloudHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Graph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­dynamodbblazegraph.comwww.ibm.com/­products/­netezza
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­dynamodbwiki.blazegraph.com
DeveloperBitnine Global Inc.AmazonBlazegraphIBM
Initial release2016201220062000
Current release2.1, December 20182.1.5, March 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree tier for a limited amount of database operationsOpen Source infoextended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Linux infoincluded in appliance
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoRDF literal typesyes
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.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoSPARQL is used as query languageyes
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesnoyesyes
Triggersnoyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoACID across one or more tables within a single AWS account and regionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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)Security and Authentication via Web Application Container (Tomcat, Jetty)Users with fine-grained authorization concept

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