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DBMS > Badger vs. Drizzle vs. JaguarDB vs. Kinetica

System Properties Comparison Badger vs. Drizzle vs. JaguarDB vs. Kinetica

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Performant, highly scalable DBMS for AI and IoT applicationsGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#280  Overall
#48  Key-value stores
Score0.00
Rank#340  Overall
#61  Key-value stores
Score0.75
Rank#193  Overall
#95  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datajaguar.comwww.kinetica.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.datajaguar.com/­support.phpwww.kinetica.com/­docs
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerDataJaguar, Inc.Kinetica
Initial release2017200820152012
Current release7.2.4, September 20122.9.4 September 20186.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoGPL V3.0commercial
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++C++ infothe server part. Clients available in other languagesC, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
LinuxLinux
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions
Triggersnono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
BadgerDrizzleJaguarDBKinetica
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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BadgerDrizzleJaguarDBKinetica
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