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DBMS > Badger vs. EsgynDB vs. Hive vs. HugeGraph

System Properties Comparison Badger vs. EsgynDB vs. Hive vs. HugeGraph

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEsgynDB  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiondata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerwww.esgyn.cnhive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docs
DeveloperDGraph LabsEsgynApache Software Foundation infoinitially developed by FacebookBaidu
Initial release2017201520122018
Current release3.1.3, April 20220.9
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, JavaJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java VMLinux
macOS
Unix
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.nonono
Secondary indexesnoyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGoAll languages supporting JDBC/ODBC/ADO.NetC++
Java
PHP
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobs
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducevia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes infoedges in graph
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and rolesUsers, roles and permissions

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More resources
BadgerEsgynDBHiveHugeGraph
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