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DBMS > Amazon DocumentDB vs. Cubrid vs. Hypertable vs. RavenDB vs. SQL.JS

System Properties Comparison Amazon DocumentDB vs. Cubrid vs. Hypertable vs. RavenDB vs. SQL.JS

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCubrid  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabasePort of SQLite to JavaScript
Primary database modelDocument storeRelational DBMSWide column storeDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteaws.amazon.com/­documentdbcubrid.com (korean)
cubrid.org (english)
ravendb.netsql.js.org
Technical documentationaws.amazon.com/­documentdb/­resourcescubrid.org/­manualsravendb.net/­docssql.js.org/­documentation/­index.html
DeveloperCUBRID Corporation, CUBRID FoundationHypertable Inc.Hibernating RhinosAlon Zakai infoenhancements implemented by others
Initial release20192008200920102012
Current release11.0, January 20210.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++C#JavaScript
Server operating systemshostedLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoyesnoSQL-like query language (RQL)yes infoSQL-92 is not fully supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
C++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyesno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationselectable replication factor on file system levelMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.none
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoAuthorization levels configured per client per databaseno

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More resources
Amazon DocumentDBCubridHypertableRavenDBSQL.JS
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