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DBMS > Riak TS vs. Sphinx vs. SQream DB

System Properties Comparison Riak TS vs. Sphinx vs. SQream DB

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Editorial information provided by DB-Engines
NameRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitesphinxsearch.comsqream.com
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docsdocs.sqream.com
DeveloperOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.SQream Technologies
Initial release201520012017
Current release3.0.0, September 20223.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyes, ANSI Standard SQL Types
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.no
Secondary indexesrestrictedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes, limitedSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP API
Native Erlang Interface
Proprietary protocol.Net
JDBC
ODBC
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresErlangnouser defined functions in Python
Triggersyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infolinks between datasets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
User concepts infoAccess controlnono

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Riak TSSphinxSQream DB
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