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DBMS > Blueflood vs. eXtremeDB vs. H2 vs. Kdb

System Properties Comparison Blueflood vs. eXtremeDB vs. H2 vs. Kdb

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisoneXtremeDB  Xexclude from comparisonH2  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraNatively in-memory DBMS with options for persistency, high-availability and clusteringFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.High performance Time Series DBMS
Primary database modelTime Series DBMSRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websiteblueflood.iowww.mcobject.comwww.h2database.comkx.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.mcobject.com/­docs/­extremedb.htmwww.h2database.com/­html/­main.htmlcode.kx.com
DeveloperRackspaceMcObjectThomas MuellerKx Systems, a division of First Derivatives plc
Initial release2013200120052000 infokdb was released 2000, kdb+ in 2003
Current release8.2, 20212.2.220, July 20233.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Javaq
Server operating systemsLinux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosupport of XML interfaces availablenoyes
Secondary indexesnoyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyesSQL-like query language (q)
APIs and other access methodsHTTP REST.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
JavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersnoyes infoby defining eventsyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning / shardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
With clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
BluefloodeXtremeDBH2Kdb
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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tick database streaming sensor data massive intelligence applications oil and gas...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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upon request
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More resources
BluefloodeXtremeDBH2Kdb
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