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DBMS > Bangdb vs. Hive vs. Oracle Rdb vs. Sphinx

System Properties Comparison Bangdb vs. Hive vs. Oracle Rdb vs. Sphinx

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHive  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphdata warehouse software for querying and managing large distributed datasets, built on HadoopOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitebangdb.comhive.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.com
Technical documentationdocs.bangdb.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docs
DeveloperSachin Sinha, BangDBApache Software Foundation infoinitially developed by FacebookOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.
Initial release2012201219842001
Current releaseBangDB 2.0, October 20213.1.3, April 20227.4.1.1, 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2commercialOpen 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 languageC, C++JavaC++
Server operating systemsLinuxAll OS with a Java VMHP 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 dateyes: string, long, double, int, geospatial, stream, eventsyesyesno
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
C++
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes 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.yes, run db with in-memory only modeno
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and rolesno

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BangdbHiveOracle RdbSphinx
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