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DBMS > Badger vs. BaseX vs. Datomic vs. Hypertable vs. Kdb

System Properties Comparison Badger vs. BaseX vs. Datomic vs. Hypertable vs. Kdb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBaseX  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonKdb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopHigh performance Time Series DBMS
Primary database modelKey-value storeNative XML DBMSRelational DBMSWide column storeTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerbasex.orgwww.datomic.comkx.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.basex.orgdocs.datomic.comcode.kx.com
DeveloperDGraph LabsBaseX GmbHCognitectHypertable Inc.Kx Systems, a division of First Derivatives plc
Initial release20172007201220092000 infokdb was released 2000, kdb+ in 2003
Current release10.7, August 20231.0.6735, June 20230.9.8.11, March 20163.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licensecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava, ClojureC++q
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenono infoXQuery supports typesyesnoyes
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.nonoyes
Secondary indexesnoyesyesrestricted infoonly exact value or prefix value scansyes infotable attribute 'grouped'
SQL infoSupport of SQLnonononoSQL-like query language (q)
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP APIC++ API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGoActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes infoTransaction Functionsnouser defined functions
Triggersnoyes infovia eventsBy using transaction functionsnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnonenonenone infoBut extensive use of caching in the application peersShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone infoBut extensive use of caching in the application peersselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept on 4 levelsnonorights management via user accounts
More information provided by the system vendor
BadgerBaseXDatomicHypertableKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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BadgerBaseXDatomicHypertableKdb
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