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DBMS > Amazon Neptune vs. Netezza vs. OpenEdge vs. StarRocks vs. TigerGraph

System Properties Comparison Amazon Neptune vs. Netezza vs. OpenEdge vs. StarRocks vs. TigerGraph

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenEdge  Xexclude from comparisonStarRocks  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudData warehouse and analytics appliance part of IBM PureSystemsApplication development environment with integrated database management systemAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­neptunewww.ibm.com/­products/­netezzawww.progress.com/­openedgewww.starrocks.iowww.tigergraph.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introdocs.tigergraph.com
DeveloperAmazonIBMProgress Software CorporationThe Linux Foundation infosince Feb 2023
Initial release20172000198420202017
Current releaseOpenEdge 12.2, March 20202.5.3, March 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++
Server operating systemshostedLinux infoincluded in applianceAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyes infoclose to SQL 92yesSQL-like query language (GSQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
OLE DB
JDBC
ODBC
JDBC
MySQL protocol
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Progress proprietary ABL (Advanced Business Language)JavaC++
Java
Server-side scripts infoStored proceduresnoyesyesuser defined functionsyes
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infosince Version 11.4horizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptUsers and groupsRole based access control and fine grained access rightsRole-based access control

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More resources
Amazon NeptuneNetezza infoAlso called PureData System for Analytics by IBMOpenEdgeStarRocksTigerGraph
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