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DBMS > Badger vs. Drizzle vs. HarperDB vs. IBM Cloudant vs. Kinetica

System Properties Comparison Badger vs. Drizzle vs. HarperDB vs. IBM Cloudant vs. Kinetica

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Cloudant  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Database as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUs
Primary database modelKey-value storeRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.55
Rank#252  Overall
#38  Document stores
Score2.73
Rank#108  Overall
#20  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.harperdb.iowww.ibm.com/­products/­cloudantwww.kinetica.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.harperdb.io/­docscloud.ibm.com/­docs/­Cloudantdocs.kinetica.com
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerHarperDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Kinetica
Initial release20172008201720102012
Current release7.2.4, September 20123.1, August 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Node.jsErlangC, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
OS X
hostedLinux
Data schemeschema-freeyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesnoyes
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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like data manipulation statementsnoSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1View functions (Map-Reduce) in JavaScriptuser defined functions
Triggersnono infohooks for callbacks inside the server can be used.noyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesAccess rights for users can be defined per databaseAccess rights for users and roles on table level

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More resources
BadgerDrizzleHarperDBIBM CloudantKinetica
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