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DBMS > Blueflood vs. Drizzle vs. Tigris vs. Tkrzw

System Properties Comparison Blueflood vs. Drizzle vs. Tigris vs. Tkrzw

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonTigris  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.
DescriptionScalable TimeSeries DBMS based on CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteblueflood.iowww.tigrisdata.comdbmx.net/­tkrzw
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.tigrisdata.com/­docs
DeveloperRackspaceDrizzle project, originally started by Brian AkerTigris Data, Inc.Mikio Hirabayashi
Initial release2013200820222020
Current release7.2.4, September 20120.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
Linux
macOS
Windows
Linux
macOS
Data schemepredefined schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsHTTP RESTJDBCCLI Client
gRPC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Go
Java
JavaScript (Node.js)
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesno

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BluefloodDrizzleTigrisTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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