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DBMS > Amazon Neptune vs. MonetDB vs. RavenDB vs. searchxml vs. SurrealDB

System Properties Comparison Amazon Neptune vs. MonetDB vs. RavenDB vs. searchxml vs. SurrealDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSurrealDB  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 DatabaseDBMS for structured and unstructured content wrapped with an application serverA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeNative XML DBMS
Search engine
Document store
Graph DBMS
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
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteaws.amazon.com/­neptunewww.monetdb.orgravendb.netwww.searchxml.net/­category/­productssurrealdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.monetdb.org/­Documentationravendb.net/­docswww.searchxml.net/­support/­handoutssurrealdb.com/­docs
DeveloperAmazonMonetDB BVHibernating Rhinosinformationpartners gmbhSurrealDB Ltd
Initial release20172004201020152022
Current releaseDec2023 (11.49), December 20235.4, July 20221.0v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#C++Rust
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
WindowsLinux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (RQL)noSQL-like query language
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
RESTful HTTP API
WebDAV
XQuery
XSLT
GraphQL
RESTful HTTP API
WebSocket
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++ infomost other programming languages supported via APIsDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryesyes infoon the application server
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 replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
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 availablemultiple readers, single writerACID
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.no
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 databaseDomain, group and role-based access control at the document level and for application servicesyes, based on authentication and database rules

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More resources
Amazon NeptuneMonetDBRavenDBsearchxmlSurrealDB
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