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DBMS > Badger vs. HugeGraph vs. Kinetica vs. WakandaDB

System Properties Comparison Badger vs. HugeGraph vs. Kinetica vs. WakandaDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeGraph DBMSRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­hugegraph
hugegraph.apache.org
www.kinetica.comwakanda.github.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhugegraph.apache.org/­docsdocs.kinetica.comwakanda.github.io/­doc
DeveloperDGraph LabsBaiduKineticaWakanda SAS
Initial release2017201820122012
Current release0.97.1, August 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoAGPLv3, extended commercial license available
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 languageGoJavaC, C++C++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
LinuxLinux
OS X
Windows
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.nononono
Secondary indexesnoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGoGroovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoUsers, roles and permissionsAccess rights for users and roles on table levelyes

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More resources
BadgerHugeGraphKineticaWakandaDB
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