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DBMS > Realm vs. Riak TS vs. Splice Machine vs. STSdb vs. Teradata Aster

System Properties Comparison Realm vs. Riak TS vs. Splice Machine vs. STSdb vs. Teradata Aster

Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonRiak TS  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRiak 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 SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument storeTime Series DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.41
Rank#52  Overall
#8  Document stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiterealm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationrealm.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestsplicemachine.com/­how-it-works
DeveloperRealm, acquired by MongoDB in May 2019Open Source, formerly Basho TechnologiesSplice MachineSTS Soft SCTeradata
Initial release20142015201420112005
Current release3.0.0, September 20223.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen SourceOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC#
Server operating systemsAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Linux
OS X
Solaris
Windows
WindowsLinux
Data schemeyesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesnoyesyes 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.nonoyes infoin Aster File Store
Secondary indexesyesrestrictedyesnoyes
SQL infoSupport of SQLnoyes, limitedyesnoyes
APIs and other access methodsHTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
.NET Client APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
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
C#
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessaryErlangyes infoJavanoR packages
Triggersyes infoChange Listenersyes infopre-commit hooks and post-commit hooksyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication
Source-replica replication
noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infolinks between datasets can be storedyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyesno
User concepts infoAccess controlyesnoAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
RealmRiak TSSplice MachineSTSdbTeradata Aster
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