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DBMS > Bangdb vs. HugeGraph vs. Kdb vs. Sphinx

System Properties Comparison Bangdb vs. HugeGraph vs. Kdb vs. Sphinx

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHugeGraph  Xexclude from comparisonKdb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA fast-speed and highly-scalable Graph DBMSHigh performance Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSTime Series DBMS
Vector DBMS
Search engine
Secondary database modelsSpatial DBMSRelational 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitebangdb.comgithub.com/­hugegraph
hugegraph.apache.org
kx.comsphinxsearch.com
Technical documentationdocs.bangdb.comhugegraph.apache.org/­docscode.kx.comsphinxsearch.com/­docs
DeveloperSachin Sinha, BangDBBaiduKx Systems, a division of First Derivatives plcSphinx Technologies Inc.
Initial release201220182000 infokdb was released 2000, kdb+ in 20032001
Current releaseBangDB 2.0, October 20210.93.6, May 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0commercial infofree 32-bit versionOpen 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++JavaqC++
Server operating systemsLinuxLinux
macOS
Unix
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
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.nonoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infoalso supports composite index and range indexyes infotable attribute 'grouped'yes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query language (q)SQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
Groovy
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsno
Triggersyes, Notifications (with Streaming only)noyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioningSharding 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)yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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 modeyesyes
User concepts infoAccess controlyes (enterprise version only)Users, roles and permissionsrights management via user accountsno
More information provided by the system vendor
BangdbHugeGraphKdbSphinx
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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BangdbHugeGraphKdbSphinx
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