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DBMS > Heroic vs. HugeGraph vs. Kingbase vs. LevelDB

System Properties Comparison Heroic vs. HugeGraph vs. Kingbase vs. LevelDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHugeGraph  Xexclude from comparisonKingbase  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fast-speed and highly-scalable Graph DBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelTime Series DBMSGraph DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.45
Rank#265  Overall
#124  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Websitegithub.com/­spotify/­heroicgithub.com/­hugegraph
hugegraph.apache.org
www.kingbase.com.cngithub.com/­google/­leveldb
Technical documentationspotify.github.io/­heroichugegraph.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperSpotifyBaiduBeiJing KINGBASE Information technologies inc.Google
Initial release2014201819992011
Current release0.9V8.0, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and JavaC++
Server operating systemsLinux
macOS
Unix
Linux
Windows
Illumos
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesno
Secondary indexesyes infovia Elasticsearchyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLnonoStandard with numerous extensionsno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardno

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HeroicHugeGraphKingbaseLevelDB
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