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DBMS > HEAVY.AI vs. Riak KV vs. Sphinx vs. STSdb

System Properties Comparison HEAVY.AI vs. Riak KV vs. Sphinx vs. STSdb

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRiak KV  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed, fault tolerant key-value storeOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engineKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Score6.03
Rank#60  Overall
#6  Search engines
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
sphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.heavy.aiwww.tiot.jp/­riak-docs/­riak/­kv/­latestsphinxsearch.com/­docs
DeveloperHEAVY.AI, Inc.OpenSource, formerly Basho TechnologiesSphinx Technologies Inc.STS Soft SC
Initial release2016200920012011
Current release5.10, January 20223.2.0, December 20223.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, 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 CUDAErlangC++C#
Server operating systemsLinuxLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyes infoprimitive types and user defined types (classes)
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 indexesnorestrictedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesnoSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API
Native Erlang Interface
Proprietary protocol.NET Client API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresnoErlangnono
Triggersnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding infono "single point of failure"Sharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak Securitynono

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Riak KVSphinxSTSdb
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