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DBMS > Bangdb vs. H2 vs. Hypertable vs. Sphinx

System Properties Comparison Bangdb vs. H2 vs. Hypertable vs. Sphinx

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonH2  Xexclude from comparisonHypertable  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source BigTable implementation based on distributed file systems such as 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 DBMSWide column storeSearch engine
Secondary database modelsSpatial DBMSSpatial 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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitebangdb.comwww.h2database.comsphinxsearch.com
Technical documentationdocs.bangdb.comwww.h2database.com/­html/­main.htmlsphinxsearch.com/­docs
DeveloperSachin Sinha, BangDBThomas MuellerHypertable Inc.Sphinx Technologies Inc.
Initial release2012200520092001
Current releaseBangDB 2.0, October 20212.2.220, July 20230.9.8.11, March 20163.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGNU version 3. Commercial license availableOpen 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++C++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnono
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, geospatialyesrestricted infoonly exact value or prefix value scansyes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolyesnoSQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
C++ API
Thrift
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
JavaC++
Java
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsnono
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingSharding 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)With clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, multi-version concurrency control (MVCC)yesyes
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 modeyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardnono

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BangdbH2HypertableSphinx
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