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DBMS > Amazon Neptune vs. Hive vs. Hypertable vs. IBM Db2 vs. RavenDB

System Properties Comparison Amazon Neptune vs. Hive vs. Hypertable vs. IBM Db2 vs. RavenDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHive  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the clouddata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source BigTable implementation based on distributed file systems such as HadoopCommon in IBM host environments, 2 different versions for host and Windows/LinuxOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Graph DBMS
Spatial DBMS
Time Series 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­neptunehive.apache.orgwww.ibm.com/­products/­db2ravendb.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcescwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2ravendb.net/­docs
DeveloperAmazonApache Software Foundation infoinitially developed by FacebookHypertable Inc.IBMHibernating Rhinos
Initial release2017201220091983 infohost version2010
Current release3.1.3, April 20220.9.8.11, March 201612.1, October 20165.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availablecommercial infofree version is availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++C#
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesnoyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesSQL-like query language (RQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Thrift
C++ API
Thrift
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoonly with Windows/Unix/Linux VersionSharding
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 factorselectable replication factor on file system levelyes infowith separate tools (MQ, InfoSphere)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
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 rolesnofine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
Amazon NeptuneHiveHypertableIBM Db2 infoformerly named DB2 or IBM Database 2RavenDB
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