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DBMS > Badger vs. Datomic vs. Dolt vs. jBASE vs. Kdb

System Properties Comparison Badger vs. Datomic vs. Dolt vs. jBASE vs. Kdb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonDolt  Xexclude from comparisonjBASE  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA MySQL compatible DBMS with Git-like versioning of data and schemaA robust multi-value DBMS comprising development tools and middlewareHigh performance Time Series DBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSMultivalue DBMSTime Series DBMS
Vector DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasekx.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comdocs.dolthub.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9code.kx.com
DeveloperDGraph LabsCognitectDoltHub IncRocket Software (formerly Zumasys)Kx Systems, a division of First Derivatives plc
Initial release20172012201819912000 infokdb was released 2000, kdb+ in 2003
Current release1.0.6735, June 20235.73.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoApache Version 2.0commercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureGoq
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
Windows
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesoptionalyes
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.nononoyesyes
Secondary indexesnoyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnonoyesEmbedded SQL for jBASE in BASICSQL-like query language (q)
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGoClojure
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Basic
Jabbascript
Java
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes infocurrently in alpha releaseyesuser defined functions
TriggersnoBy using transaction functionsyesyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesyes
User concepts infoAccess controlnonoOnly one user is configurable, and must be specified in the config file at startupAccess rights can be defined down to the item levelrights management via user accounts
More information provided by the system vendor
BadgerDatomicDoltjBASEKdb
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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BadgerDatomicDoltjBASEKdb
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