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DBMS > IRONdb vs. Riak KV vs. RocksDB vs. Splice Machine

System Properties Comparison IRONdb vs. Riak KV vs. RocksDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRiak KV  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  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 simplicityDistributed, fault tolerant key-value storeEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.84
Rank#76  Overall
#9  Key-value stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/rocksdb.orgsplicemachine.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.tiot.jp/­riak-docs/­riak/­kv/­latestgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
DeveloperCirconus LLC.OpenSource, formerly Basho TechnologiesFacebook, Inc.Splice Machine
Initial release2017200920132014
Current releaseV0.10.20, January 20183.2.0, December 20229.4.0, June 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
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++ErlangC++Java
Server operating systemsLinuxLinux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnonoyes
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 indexesnorestrictednoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonoyes
APIs and other access methodsHTTP APIHTTP API
Native Erlang Interface
C++ API
Java API
JDBC
Native Spark Datasource
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++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, in LuaErlangnoyes infoJava
Triggersnoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infono "single point of failure"horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
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 data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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 controlnoyes, using Riak SecuritynoAccess rights for users, groups and roles according to SQL-standard

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More resources
IRONdbRiak KVRocksDBSplice Machine
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