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DBMS > Riak KV vs. Splice Machine vs. STSdb vs. TDengine

System Properties Comparison Riak KV vs. Splice Machine vs. STSdb vs. TDengine

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Editorial information provided by DB-Engines
NameRiak KV  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionDistributed, fault tolerant key-value storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS and big data platform
Primary database modelKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitesplicemachine.comgithub.com/­STSSoft/­STSdb4github.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestsplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperOpenSource, formerly Basho TechnologiesSplice MachineSTS Soft SCTDEngine, previously Taos Data
Initial release2009201420112019
Current release3.2.0, December 20223.1, March 20214.0.8, September 20153.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC#C
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
WindowsLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyes infoprimitive types and user defined types (classes)yes
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 indexesrestrictedyesnono
SQL infoSupport of SQLnoyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
.NET Client APIJDBC
RESTful HTTP API
Supported programming languagesC 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
C#
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresErlangyes infoJavanono
Triggersyes infopre-commit hooks and post-commit hooksyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between data sets can be storedyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yes
User concepts infoAccess controlyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardnoyes
More information provided by the system vendor
Riak KVSplice MachineSTSdbTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Riak KVSplice MachineSTSdbTDengine
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