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DBMS > Badger vs. HugeGraph vs. RisingWave vs. Tkrzw

System Properties Comparison Badger vs. HugeGraph vs. RisingWave vs. Tkrzw

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHugeGraph  Xexclude from comparisonRisingWave  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A fast-speed and highly-scalable Graph DBMSA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeGraph DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­hugegraph
hugegraph.apache.org
www.risingwave.com/­databasedbmx.net/­tkrzw
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhugegraph.apache.org/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperDGraph LabsBaiduRisingWave LabsMikio Hirabayashi
Initial release2017201820222020
Current release0.91.2, September 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageGoJavaRustC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
Docker
Linux
macOS
Linux
macOS
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesStandard SQL-types and JSONno
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 SQLnonoyesno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
PostgreSQL wire protocol
Supported programming languagesGoGroovy
Java
Python
Go
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsUDFs in Python or Javano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyesyes infousing specific database classes
User concepts infoAccess controlnoUsers, roles and permissionsUsers and Rolesno

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More resources
BadgerHugeGraphRisingWaveTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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