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DBMS > Amazon Neptune vs. Fujitsu Enterprise Postgres vs. Netezza

System Properties Comparison Amazon Neptune vs. Fujitsu Enterprise Postgres vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­neptunewww.postgresql.fastware.comwww.ibm.com/­products/­netezza
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.postgresql.fastware.com/­product-manuals
DeveloperAmazonPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBM
Initial release20172000
Current releaseFujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedLinux
Windows
Linux infoincluded in appliance
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashSharding
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 methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
Amazon NeptuneFujitsu Enterprise PostgresNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Amazon NeptuneFujitsu Enterprise PostgresNetezza infoAlso called PureData System for Analytics by IBM
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