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DBMS > etcd vs. Kinetica vs. Quasardb vs. SAP SQL Anywhere vs. Sequoiadb

System Properties Comparison etcd vs. Kinetica vs. Quasardb vs. SAP SQL Anywhere vs. Sequoiadb

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionA distributed reliable key-value storeFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsNewSQL database with distributed OLTP and SQL
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.kinetica.comquasar.aiwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sequoiadb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.kinetica.comdoc.quasar.ai/­masterhelp.sap.com/­docs/­SAP_SQL_Anywherewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperKineticaquasardbSAP infoformerly SybaseSequoiadb Ltd.
Initial release2012200919922013
Current release3.4, August 20197.1, August 20213.14.1, January 202417, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++C++C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryyesyes infooid, date, timestamp, binary, regex
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.nononoyesno
Secondary indexesnoyesyes infowith tagsyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyesSQL-like query language
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
RESTful HTTP API
HTTP APIADO.NET
HTTP API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnoyes, in C/C++, Java, .Net or PerlJavaScript
Triggersyes, watching key changesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationSource-replica replication with selectable replication factorSource-replica replication infoDatabase mirroringSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infoTransient modeyesno
User concepts infoAccess controlnoAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardsimple password-based access control

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More resources
etcdKineticaQuasardbSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSequoiadb
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