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DBMS > EsgynDB vs. Quasardb vs. Riak KV vs. SiteWhere vs. Yanza

System Properties Comparison EsgynDB vs. Quasardb vs. Riak KV vs. SiteWhere vs. Yanza

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonSiteWhere  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeM2M integration platform for persisting/querying time series dataTime Series DBMS for IoT Applications
Primary database modelRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.esgyn.cnquasar.aigithub.com/­sitewhere/­sitewhereyanza.com
Technical documentationdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestsitewhere1.sitewhere.io/­index.html
DeveloperEsgynquasardbOpenSource, formerly Basho TechnologiesSiteWhereYanza
Initial release20152009200920102015
Current release3.14.1, January 20243.2.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editionOpen Source infoCommon Public Attribution License Version 1.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++ErlangJava
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
OS X
Linux
OS X
Windows
Windows
Data schemeyesschema-freeschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyesno
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.nonononono
Secondary indexesyesyes infowith tagsrestrictednono
SQL infoSupport of SQLyesSQL-like query languagenonono
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIHTTP API
Native Erlang Interface
HTTP RESTHTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
any language that supports HTTP calls
Server-side scripts infoStored proceduresJava Stored ProceduresnoErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infono "single point of failure"Sharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replication with selectable replication factorselectable replication factorselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes, using Riak SecurityUsers with fine-grained authorization conceptno

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More resources
EsgynDBQuasardbRiak KVSiteWhereYanza
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