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DBMS > BoltDB vs. eXtremeDB vs. Kdb vs. Postgres-XL

System Properties Comparison BoltDB vs. eXtremeDB vs. Kdb vs. Postgres-XL

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonKdb  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Natively in-memory DBMS with options for persistency, high-availability and clusteringHigh performance Time Series DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.mcobject.comkx.comwww.postgres-xl.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmcode.kx.comwww.postgres-xl.org/­documentation
DeveloperMcObjectKx Systems, a division of First Derivatives plc
Initial release201320012000 infokdb was released 2000, kdb+ in 20032014 infosince 2012, originally named StormDB
Current release8.2, 20213.6, May 201810 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infofree 32-bit versionOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++qC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 availableyesyes infoXML type, but no XML query functionality
Secondary indexesnoyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLSQL-like query language (q)yes infodistributed, parallel query execution
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo.Net
C
C#
C++
Java
Lua
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functionsuser defined functions
Triggersnoyes infoby defining eventsyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesyesno
User concepts infoAccess controlnorights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BoltDBeXtremeDBKdbPostgres-XL
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...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
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...
» more
upon request
» more

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More resources
BoltDBeXtremeDBKdbPostgres-XL
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