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DBMS > Badger vs. Drizzle vs. HarperDB vs. Kinetica vs. openGauss

System Properties Comparison Badger vs. Drizzle vs. HarperDB vs. Kinetica vs. openGauss

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonopenGauss  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.Fully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.harperdb.iowww.kinetica.comgitee.com/­opengauss
opengauss.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.harperdb.io/­docsdocs.kinetica.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerHarperDBKineticaHuawei and openGauss community
Initial release20172008201720122019
Current release7.2.4, September 20123.1, August 20217.1, August 20213.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercial infofree community edition availablecommercialOpen Source
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 languageGoC++Node.jsC, C++C, C++, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
OS X
LinuxLinux
Data schemeschema-freeyesdynamic schemayesyes
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesyesyes
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 statementsSQL-like DML and DDL statementsANSI SQL 2011
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
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 (Node.js)
Python
C
C++
Java
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1user defined functionsyes
Triggersnono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a clusterShardinghorizontal partitioning (by range, list and hash)
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 definedSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgerDrizzleHarperDBKineticaopenGauss
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