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DBMS > Amazon Neptune vs. GridGain vs. Kinetica vs. SiteWhere

System Properties Comparison Amazon Neptune vs. GridGain vs. Kinetica vs. SiteWhere

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGridGain is an in-memory computing platform, built on Apache IgniteFully vectorized database across both GPUs and CPUsM2M integration platform for persisting/querying time series data
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.gridgain.comwww.kinetica.comgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.gridgain.com/­docs/­index.htmldocs.kinetica.comsitewhere1.sitewhere.io/­index.html
DeveloperAmazonGridGain Systems, Inc.KineticaSiteWhere
Initial release2017200720122010
Current releaseGridGain 8.5.17.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC, C++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyespredefined scheme
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersnoyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infobased on HBase
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.yes (replicated cache)Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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 infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsAccess rights for users and roles on table levelUsers with fine-grained authorization concept

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More resources
Amazon NeptuneGridGainKineticaSiteWhere
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