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DBMS > Heroic vs. HugeGraph vs. Linter vs. OpenTenBase

System Properties Comparison Heroic vs. HugeGraph vs. Linter vs. OpenTenBase

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHugeGraph  Xexclude from comparisonLinter  Xexclude from comparisonOpenTenBase  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fast-speed and highly-scalable Graph DBMSRDBMS for high security requirementsAn enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.08
Rank#370  Overall
#156  Relational DBMS
Websitegithub.com/­spotify/­heroicgithub.com/­hugegraph
hugegraph.apache.org
linter.rugithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
Technical documentationspotify.github.io/­heroichugegraph.apache.org/­docsdocs.opentenbase.org
docs.opentenbase.org/­en
DeveloperSpotifyBaidurelex.ruOpenAtom Foundation, previously Tencent
Initial release201420181990
Current release0.92.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoBSD-3
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 languageJavaJavaC and C++
Server operating systemsLinux
macOS
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyes infovia Elasticsearchyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesGroovy
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
Go
Java
PHP
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.noyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
HeroicHugeGraphLinterOpenTenBase
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