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DBMS > Bangdb vs. Blueflood vs. GigaSpaces vs. Hypertable

System Properties Comparison Bangdb vs. Blueflood vs. GigaSpaces vs. Hypertable

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBlueflood  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHypertable  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 graphScalable TimeSeries DBMS based on CassandraHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Wide column store
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
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
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websitebangdb.comblueflood.iowww.gigaspaces.com
Technical documentationdocs.bangdb.comgithub.com/­rax-maas/­blueflood/­wikidocs.gigaspaces.com/­latest/­landing.html
DeveloperSachin Sinha, BangDBRackspaceGigaspaces TechnologiesHypertable Inc.
Initial release2012201320002009
Current releaseBangDB 2.0, October 202115.5, September 20200.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGNU version 3. Commercial license 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++JavaJava, C++, .NetC++
Server operating systemsLinuxLinux
OS X
Linux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freepredefined schemeschema-freeschema-free
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.nonono infoXML can be used for describing objects metadata
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL like support with command line toolnoSQL-99 for query and DML statementsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP RESTGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Thrift
Supported programming languagesC
C#
C++
Java
Python
.Net
C++
Java
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersyes, Notifications (with Streaming only)noyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on CassandraMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modenoyes
User concepts infoAccess controlyes (enterprise version only)noRole-based access controlno

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More resources
BangdbBluefloodGigaSpacesHypertable
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