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DBMS > Amazon DocumentDB vs. Cubrid vs. Hypertable

System Properties Comparison Amazon DocumentDB vs. Cubrid vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCubrid  Xexclude from comparisonHypertable  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 Hadoop
Primary database modelDocument storeRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Websiteaws.amazon.com/­documentdbcubrid.com (korean)
cubrid.org (english)
Technical documentationaws.amazon.com/­documentdb/­resourcescubrid.org/­manuals
DeveloperCUBRID Corporation, CUBRID FoundationHypertable Inc.
Initial release201920082009
Current release11.0, January 20210.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++
Server operating systemshostedLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
C++ API
Thrift
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
Server-side scripts infoStored proceduresnoJava Stored Proceduresno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
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 level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 rolesfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBCubridHypertable
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