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DBMS > Blueflood vs. Kinetica vs. LevelDB vs. Riak KV vs. Yanza

System Properties Comparison Blueflood vs. Kinetica vs. LevelDB vs. Riak KV vs. Yanza

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonRiak KV  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable TimeSeries DBMS based on CassandraFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, fault tolerant key-value storeTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Websiteblueflood.iowww.kinetica.comgithub.com/­google/­leveldbyanza.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperRackspaceKineticaGoogleOpenSource, formerly Basho TechnologiesYanza
Initial release20132012201120092015
Current release7.1, August 20211.23, February 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoApache version 2, commercial enterprise editioncommercial 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 languageJavaC, C++C++Erlang
Server operating systemsLinux
OS X
LinuxIllumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemepredefined schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonono
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 indexesnoyesnorestrictedno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonono
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
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 proceduresnouser defined functionsnoErlangno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infopre-commit hooks and post-commit hooksyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationnoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users and roles on table levelnoyes, using Riak Securityno

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More resources
BluefloodKineticaLevelDBRiak KVYanza
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