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DBMS > Drizzle vs. eXtremeDB vs. KairosDB vs. Sqrrl vs. Yanza

System Properties Comparison Drizzle vs. eXtremeDB vs. KairosDB vs. Sqrrl vs. Yanza

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisoneXtremeDB  Xexclude from comparisonKairosDB  Xexclude from comparisonSqrrl  Xexclude from comparisonYanza  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Natively in-memory DBMS with options for persistency, high-availability and clusteringDistributed Time Series DBMS based on Cassandra or H2Adaptable, secure NoSQL built on Apache AccumuloTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitewww.mcobject.comgithub.com/­kairosdb/­kairosdbsqrrl.comyanza.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmkairosdb.github.io
DeveloperDrizzle project, originally started by Brian AkerMcObjectAmazon infooriginally Sqrrl Data, Inc.Yanza
Initial release20082001201320122015
Current release7.2.4, September 20128.2, 20211.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache 2.0commercialcommercial 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++C and C++JavaJava
Server operating systemsFreeBSD
Linux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
LinuxWindows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.no infosupport of XML interfaces availablenono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyes infowith the option: eXtremeSQLnonono
APIs and other access methodsJDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
JavaScript infoNode.js
PHP
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyesnonono
Triggersno infohooks for callbacks inside the server can be used.yes infoby defining eventsnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingSharding infobased on CassandraSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor infobased on Cassandraselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPsimple password-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)no
More information provided by the system vendor
DrizzleeXtremeDBKairosDBSqrrlYanza
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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DrizzleeXtremeDBKairosDBSqrrlYanza
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