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DBMS > Amazon DocumentDB vs. CockroachDB vs. Cubrid vs. Sphinx vs. VoltDB

System Properties Comparison Amazon DocumentDB vs. CockroachDB vs. Cubrid vs. Sphinx vs. VoltDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonCubrid  Xexclude from comparisonSphinx  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPOpen source search engine for searching in data from different sources, e.g. relational databasesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument storeRelational DBMSRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.cockroachlabs.comcubrid.com (korean)
cubrid.org (english)
sphinxsearch.comwww.voltdb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.cockroachlabs.com/­docscubrid.org/­manualssphinxsearch.com/­docsdocs.voltdb.com
DeveloperCockroach LabsCUBRID Corporation, CUBRID FoundationSphinx Technologies Inc.VoltDB Inc.
Initial release20192015200820012010
Current release24.1.0, May 202411.0, January 20213.5.1, February 202311.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageGoC, C++, JavaC++Java, C++
Server operating systemshostedLinux
macOS
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeschema-freedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyesSQL-like query language (SphinxQL)yes infoonly a subset of SQL 99
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCADO.NET
JDBC
ODBC
OLE DB
Proprietary protocolJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoJava Stored ProceduresnoJava
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication using RAFTSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
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 possibleyesyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standardnoUsers and roles with access to stored procedures

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More resources
Amazon DocumentDBCockroachDBCubridSphinxVoltDB
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