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DBMS > atoti vs. Cubrid vs. etcd vs. Linter

System Properties Comparison atoti vs. Cubrid vs. etcd vs. Linter

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCubrid  Xexclude from comparisonetcd  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA distributed reliable key-value storeRDBMS for high security requirements
Primary database modelObject oriented DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websiteatoti.iocubrid.com (korean)
cubrid.org (english)
etcd.io
github.com/­etcd-io/­etcd
linter.ru
Technical documentationdocs.atoti.iocubrid.org/­manualsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperActiveViamCUBRID Corporation, CUBRID Foundationrelex.ru
Initial release20081990
Current release11.0, January 20213.4, August 2019
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaGoC and C++
Server operating systemsLinux
Windows
FreeBSD
Linux
Windows infoexperimental
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC
JSON over HTTP
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresPythonJava Stored Proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
atotiCubridetcdLinter
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