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DBMS > Amazon Neptune vs. Greenplum vs. GridGain vs. Lovefield

System Properties Comparison Amazon Neptune vs. Greenplum vs. GridGain vs. Lovefield

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic 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.GridGain is an in-memory computing platform, built on Apache IgniteEmbeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial 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
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteaws.amazon.com/­neptunegreenplum.orgwww.gridgain.comgoogle.github.io/­lovefield
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.greenplum.orgwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAmazonPivotal Software Inc.GridGain Systems, Inc.Google
Initial release2017200520072014
Current release7.0.0, September 2023GridGain 8.5.12.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaScript
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infosince Version 4.2yesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)Using read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
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 replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDB
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-standardSecurity Hooks for custom implementationsno

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More resources
Amazon NeptuneGreenplumGridGainLovefield
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