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DBMS > Amazon Neptune vs. EventStoreDB vs. Hive

System Properties Comparison Amazon Neptune vs. EventStoreDB vs. Hive

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHive  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudIndustrial-strength, open-source database solution built from the ground up for event sourcing.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelGraph DBMS
RDF store
Event StoreRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score1.14
Rank#181  Overall
#1  Event Stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­neptunewww.eventstore.comhive.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdevelopers.eventstore.comcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonEvent Store LimitedApache Software Foundation infoinitially developed by Facebook
Initial release201720122012
Current release21.2, February 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
Windows
All OS with a Java VM
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
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 factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles

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More resources
Amazon NeptuneEventStoreDBHive
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