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DBMS > Amazon Neptune vs. FatDB vs. Geode vs. GridGain

System Properties Comparison Amazon Neptune vs. FatDB vs. Geode vs. GridGain

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFatDB  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, reliable graph database built for the cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Key-value storeKey-value store
Relational 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
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websiteaws.amazon.com/­neptunegeode.apache.orgwww.gridgain.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgeode.apache.org/­docswww.gridgain.com/­docs/­index.html
DeveloperAmazonFatCloudOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.
Initial release2017201220022007
Current release1.1, February 2017GridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaJava, C++, .Net
Server operating systemshostedWindowsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
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.nonoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnono infoVia inetgration in SQL ServerSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functionsyes (compute grid and cache interceptors can be used instead)
Triggersnoyes infovia applicationsyes infoCache Event Listenersyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
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.selectable replication factorMulti-source replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsAccess rights per client and object definableSecurity Hooks for custom implementations

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More resources
Amazon NeptuneFatDBGeodeGridGain
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