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DBMS > eXtremeDB vs. Hypertable vs. InfinityDB vs. Kdb

System Properties Comparison eXtremeDB vs. Hypertable vs. InfinityDB vs. Kdb

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparisonKdb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source BigTable implementation based on distributed file systems such as HadoopA Java embedded Key-Value Store which extends the Java Map interfaceHigh performance Time Series DBMS
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeKey-value storeTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitewww.mcobject.comboilerbay.comkx.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmboilerbay.com/­infinitydb/­manualcode.kx.com
DeveloperMcObjectHypertable Inc.Boiler Bay Inc.Kx Systems, a division of First Derivatives plc
Initial release2001200920022000 infokdb was released 2000, kdb+ in 2003
Current release8.2, 20210.9.8.11, March 20164.03.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial 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 languageC and C++C++Javaq
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.no infosupport of XML interfaces availablenoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capabilityyes infotable attribute 'grouped'
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnonoSQL-like query language (q)
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
C++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
JavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyesnonouser defined functions
Triggersyes infoby defining eventsnonoyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor on file system levelnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yesnoyes
User concepts infoAccess controlnonorights management via user accounts
More information provided by the system vendor
eXtremeDBHypertableInfinityDBKdb
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,...
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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...
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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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eXtremeDBHypertableInfinityDBKdb
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