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DBMS > Riak KV vs. Sadas Engine vs. SQream DB vs. SWC-DB vs. Teradata Aster

System Properties Comparison Riak KV vs. Sadas Engine vs. SQream DB vs. SWC-DB vs. Teradata Aster

Editorial information provided by DB-Engines
NameRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQream DB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.
DescriptionDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsa GPU-based, columnar RDBMS for big data analytics workloadsA high performance, scalable Wide Column DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.sadasengine.comsqream.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.sqream.com
DeveloperOpenSource, formerly Basho TechnologiesSADAS s.r.l.SQream TechnologiesAlex KashirinTeradata
Initial release20092006201720202005
Current release3.2.0, December 20228.02022.1.6, December 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availablecommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++C++, CUDA, Haskell, Java, ScalaC++
Server operating systemsLinux
OS X
AIX
Linux
Windows
LinuxLinuxLinux
Data schemeschema-freeyesyesschema-freeFlexible 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 datenoyesyes, ANSI Standard SQL Typesyes
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.nononoyes infoin Aster File Store
Secondary indexesrestrictedyesnoyes
SQL infoSupport of SQLnoyesyesSQL-like query languageyes
APIs and other access methodsHTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
.Net
JDBC
ODBC
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
OLE DB
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C++C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresErlangnouser defined functions in PythonnoR packages
Triggersyes infopre-commit hooks and post-commit hooksnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioninghorizontal and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneyes 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 methodsyesnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infolinks between data sets can be storedyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 infomanaged by 'Learn by Usage'nono
User concepts infoAccess controlyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Riak KVSadas EngineSQream DBSWC-DB infoSuper Wide Column DatabaseTeradata Aster
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