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DBMS > Badger vs. BigObject vs. Oracle Rdb vs. Sphinx

System Properties Comparison Badger vs. BigObject vs. Oracle Rdb vs. Sphinx

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigObject  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Analytic DBMS for real-time computations and queriesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­dgraph-io/­badgerbigobject.iowww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bigobject.iowww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docs
DeveloperDGraph LabsBigObject, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.
Initial release2017201519842001
Current release7.4.1.1, 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availablecommercialOpen 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 languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
HP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesGoC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoLuano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.noyesno
User concepts infoAccess controlnonono

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BadgerBigObjectOracle RdbSphinx
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