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DBMS > IRONdb vs. Riak TS vs. Splice Machine vs. Valentina Server

System Properties Comparison IRONdb vs. Riak TS vs. Splice Machine vs. Valentina Server

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRiak TS  Xexclude from comparisonSplice Machine  Xexclude from comparisonValentina Server  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkObject-relational database and reports server
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/splicemachine.comwww.valentina-db.net
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.tiot.jp/­riak-docs/­riak/­ts/­latestsplicemachine.com/­how-it-worksvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCirconus LLC.Open Source, formerly Basho TechnologiesSplice MachineParadigma Software
Initial release2017201520141999
Current releaseV0.10.20, January 20183.0.0, September 20223.1, March 20215.7.5
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ErlangJava
Server operating systemsLinuxLinux
OS X
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnoyesyes
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.nono
Secondary indexesnorestrictedyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes, limitedyesyes
APIs and other access methodsHTTP APIHTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes, in LuaErlangyes infoJavayes
Triggersnoyes infopre-commit hooks and post-commit hooksyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
IRONdbRiak TSSplice MachineValentina Server
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