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DBMS > BigObject vs. Riak TS vs. searchxml vs. Sphinx

System Properties Comparison BigObject vs. Riak TS vs. searchxml vs. Sphinx

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonRiak TS  Xexclude from comparisonsearchxml  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVDBMS for structured and unstructured content wrapped with an application serverOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSNative XML DBMS
Search engine
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Websitebigobject.iowww.searchxml.net/­category/­productssphinxsearch.com
Technical documentationdocs.bigobject.iowww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.searchxml.net/­support/­handoutssphinxsearch.com/­docs
DeveloperBigObject, Inc.Open Source, formerly Basho Technologiesinformationpartners gmbhSphinx Technologies Inc.
Initial release2015201520152001
Current release3.0.0, September 20221.03.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen SourcecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
WindowsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesno
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
Secondary indexesyesrestrictedyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, limitednoSQL-like query language (SphinxQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
RESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocol
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++ infomost other programming languages supported via APIsC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresLuaErlangyes infoon the application serverno
Triggersnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesno infolinks between datasets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnonoDomain, group and role-based access control at the document level and for application servicesno

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More resources
BigObjectRiak TSsearchxmlSphinx
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