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DBMS > Amazon Neptune vs. Hazelcast vs. Kinetica vs. SpaceTime vs. UniData,UniVerse

System Properties Comparison Amazon Neptune vs. Hazelcast vs. Kinetica vs. SpaceTime vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHazelcast  Xexclude from comparisonKinetica  Xexclude from comparisonSpaceTime  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA widely adopted in-memory data gridFully vectorized database across both GPUs and CPUsSpaceTime is a spatio-temporal DBMS with a focus on performance.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSSpatial DBMSMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteaws.amazon.com/­neptunehazelcast.comwww.kinetica.comwww.mireo.com/­spacetimewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationaws.amazon.com/­neptune/­developer-resourceshazelcast.org/­imdg/­docsdocs.kinetica.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperAmazonHazelcastKineticaMireoRocket Software
Initial release20172008201220201985
Current release5.3.6, November 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C
Server operating systemshostedAll OS with a Java VMLinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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 infothe object must implement a serialization strategynono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsA subset of ANSI SQL is implementedyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C#
C++
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesuser defined functionsnoyes
Triggersnoyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingFixed-grid hypercubesnone
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 infoReplicated MapSource-replica replicationReal-time block device replication (DRBD)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednonoACID infoconfigurable
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.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)Role-based access controlAccess rights for users and roles on table levelyesAccess rights according to SQL-standard and operating system based

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More resources
Amazon NeptuneHazelcastKineticaSpaceTimeUniData,UniVerse
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