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DBMS > Amazon Neptune vs. H2 vs. Lovefield vs. MonetDB

System Properties Comparison Amazon Neptune vs. H2 vs. Lovefield vs. MonetDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonH2  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Embeddable relational database for web apps written in pure JavaScriptA relational database management system that stores data in columns
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websiteaws.amazon.com/­neptunewww.h2database.comgoogle.github.io/­lovefieldwww.monetdb.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.h2database.com/­html/­main.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentation
DeveloperAmazonThomas MuellerGoogleMonetDB BV
Initial release2017200520142004
Current release2.2.220, July 20232.1.12, February 2017Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaJavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsnoyes, in SQL, C, R
TriggersnoyesUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding via remote tables
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.With clustering: 2 database servers on different computers operate on identical copies of a databasenonenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
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-standardnofine grained access rights according to SQL-standard

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More resources
Amazon NeptuneH2LovefieldMonetDB
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