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DBMS > Badger vs. Hive vs. Quasardb vs. Transwarp ArgoDB

System Properties Comparison Badger vs. Hive vs. Quasardb vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.data warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerhive.apache.orgquasar.aiwww.transwarp.cn/­en/­product/­argodb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperDGraph LabsApache Software Foundation infoinitially developed by FacebookquasardbTranswarp
Initial release201720122009
Current release3.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryyes
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.nono
Secondary indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
Supported programming languagesGoC++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users, groups and rolesCryptographically strong user authentication and audit trail

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More resources
BadgerHiveQuasardbTranswarp ArgoDB
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