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DBMS > Amazon Neptune vs. Geode vs. Greenplum vs. Postgres-XL vs. Rockset

System Properties Comparison Amazon Neptune vs. Geode vs. Greenplum vs. Postgres-XL vs. Rockset

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGeode  Xexclude from comparisonGreenplum  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAnalytic 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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websiteaws.amazon.com/­neptunegeode.apache.orggreenplum.orgwww.postgres-xl.orgrockset.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgeode.apache.org/­docsdocs.greenplum.orgwww.postgres-xl.org/­documentationdocs.rockset.com
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pivotal Software Inc.Rockset
Initial release2017200220052014 infosince 2012, originally named StormDB2019
Current release1.1, February 20177.0.0, September 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
macOS
hosted
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesdynamic typing
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 4.2yes infoXML type, but no XML query functionalityno infoingestion from XML files supported
Secondary indexesnonoyesyesall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language (OQL)yesyes infodistributed, parallel query executionRead-only SQL queries, including JOINs
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Java
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyesuser defined functionsno
Triggersnoyes infoCache Event Listenersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioningAutomatic sharding
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.Multi-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDACID infoMVCCno
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.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights per client and object definablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon NeptuneGeodeGreenplumPostgres-XLRockset
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