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DBMS > Amazon Neptune vs. Amazon Redshift vs. Greenplum

System Properties Comparison Amazon Neptune vs. Amazon Redshift vs. Greenplum

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudLarge scale data warehouse service for use with business intelligence toolsAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
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
Score2.17
Rank#115  Overall
#9  Graph DBMS
#5  RDF stores
Score15.10
Rank#38  Overall
#23  Relational DBMS
Score7.39
Rank#47  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­redshiftgreenplum.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­redshiftdocs.greenplum.org
DeveloperAmazonAmazon (based on PostgreSQL)Pivotal Software Inc.
Initial release201720122005
Current release7.0.0, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhostedLinux
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.nonoyes infosince Version 4.2
Secondary indexesnorestrictedyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC
Java
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
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.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoinformational only, not enforced by the systemyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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-standardfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneAmazon RedshiftGreenplum
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