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DBMS > Bangdb vs. GeoSpock vs. Sphinx

System Properties Comparison Bangdb vs. GeoSpock vs. Sphinx

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGeoSpock  Xexclude from comparisonSphinx  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphSpatial and temporal data processing engine for extreme data scaleOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMSTime Series 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
Score5.95
Rank#55  Overall
#5  Search engines
Websitebangdb.comgeospock.comsphinxsearch.com
Technical documentationdocs.bangdb.comsphinxsearch.com/­docs
DeveloperSachin Sinha, BangDBGeoSpockSphinx Technologies Inc.
Initial release20122001
Current releaseBangDB 2.0, October 20212.0, September 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, JavascriptC++
Server operating systemsLinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesno
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, geospatialtemporal, categoricalyes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolANSI SQL for query only (using Presto)SQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBCProprietary protocol
Supported programming languagesC
C#
C++
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
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 algorithmAutomatic shardingSharding 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)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes 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 can be defined per tableno

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More resources
BangdbGeoSpockSphinx
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