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DBMS > Amazon DocumentDB vs. Cubrid vs. HBase vs. Memcached vs. Sphinx

System Properties Comparison Amazon DocumentDB vs. Cubrid vs. HBase vs. Memcached vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCubrid  Xexclude from comparisonHBase  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  Xexclude from comparison
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 OLTPWide-column store based on Apache Hadoop and on concepts of BigTableIn-memory key-value store, originally intended for cachingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSWide column storeKey-value storeSearch engine
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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­documentdbcubrid.com (korean)
cubrid.org (english)
hbase.apache.orgwww.memcached.orgsphinxsearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcescubrid.org/­manualshbase.apache.org/­book.htmlgithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.
Initial release20192008200820032001
Current release11.0, January 20212.3.4, January 20211.6.27, May 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoBSD licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaCC++
Server operating systemshostedLinux
Windows
Linux
Unix
Windows infousing Cygwin
FreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROnono
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 indexesyesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnonoSQL-like query language (SphinxQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP API
Thrift
Proprietary protocolProprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoCoprocessors in Javanono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationMulti-source replication
Source-replica replication
none infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infoThe original contents of fields are not stored in the Sphinx index.
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-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousing SASL (Simple Authentication and Security Layer) protocolno

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Amazon DocumentDBCubridHBaseMemcachedSphinx
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