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DBMS > Heroic vs. HugeGraph vs. TerarkDB vs. Trafodion

System Properties Comparison Heroic vs. HugeGraph vs. TerarkDB vs. Trafodion

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHugeGraph  Xexclude from comparisonTerarkDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fast-speed and highly-scalable Graph DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSGraph DBMSKey-value storeRelational 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
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegithub.com/­spotify/­heroicgithub.com/­hugegraph
hugegraph.apache.org
github.com/­bytedance/­terarkdbtrafodion.apache.org
Technical documentationspotify.github.io/­heroichugegraph.apache.org/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKctrafodion.apache.org/­documentation.html
DeveloperSpotifyBaiduByteDance, originally TerarkApache Software Foundation, originally developed by HP
Initial release2014201820162014
Current release0.92.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial inforestricted open source version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++, Java
Server operating systemsLinux
macOS
Unix
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyes infovia Elasticsearchyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Java API
ADO.NET
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
C++
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnoJava Stored Procedures
Triggersnononono
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 HBasenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
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.noyesyesno
User concepts infoAccess controlUsers, roles and permissionsnofine grained access rights according to SQL-standard

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More resources
HeroicHugeGraphTerarkDBTrafodion
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