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DBMS > Amazon Neptune vs. MonetDB vs. RavenDB vs. Tkrzw

System Properties Comparison Amazon Neptune vs. MonetDB vs. RavenDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
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
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­neptunewww.monetdb.orgravendb.netdbmx.net/­tkrzw
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.monetdb.org/­Documentationravendb.net/­docs
DeveloperAmazonMonetDB BVHibernating RhinosMikio Hirabayashi
Initial release2017200420102020
Current releaseDec2023 (11.49), December 20235.4, July 20220.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#C++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (RQL)no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.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
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesShardingnone
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.none infoSource-replica replication available in experimental statusMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction available
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.yes infousing specific database classes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAuthorization levels configured per client per databaseno

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More resources
Amazon NeptuneMonetDBRavenDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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