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DBMS > Blueflood vs. DataFS vs. LevelDB vs. Riak KV vs. Splice Machine

System Properties Comparison Blueflood vs. DataFS vs. LevelDB vs. Riak KV vs. Splice Machine

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDataFS  Xexclude from comparisonLevelDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, fault tolerant key-value storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSObject oriented DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsGraph DBMS
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#360  Overall
#17  Object oriented DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteblueflood.ionewdatabase.comgithub.com/­google/­leveldbsplicemachine.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidev.mobiland.com/­Overview.xspgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latestsplicemachine.com/­how-it-works
DeveloperRackspaceMobiland AGGoogleOpenSource, formerly Basho TechnologiesSplice Machine
Initial release20132018201120092014
Current release1.1.263, October 20221.23, February 20213.2.0, December 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoApache version 2, commercial enterprise editionOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ErlangJava
Server operating systemsLinux
OS X
WindowsIllumos
Linux
OS X
Windows
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemepredefined schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nononono
Secondary indexesnononorestrictedyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsHTTP REST.NET Client API
Proprietary client DLL
WinRT client
HTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoErlangyes infoJava
Triggersnono, except callback-events from server when changes happenednoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraProprietary Sharding systemnoneSharding infono "single point of failure"Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranoneselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlnoWindows-Profilenoyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standard

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More resources
BluefloodDataFSLevelDBRiak KVSplice Machine
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