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DBMS > Heroic vs. HugeGraph

System Properties Comparison Heroic vs. HugeGraph

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fast-speed and highly-scalable Graph DBMS
Primary database modelTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#274  Overall
#22  Time Series DBMS
Score0.22
Rank#283  Overall
#21  Graph DBMS
Websitespotify.github.io/­heroic/­#!/­indexgithub.com/­hugegraph
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewhugegraph.github.io/­hugegraph-doc
DeveloperSpotifyBaidu
Initial release20142018
Current release0.9
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
macOS
Unix
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyes infovia Elasticsearchyes infoalso supports composite index and range index
SQL infoSupport of SQLnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGroovy
Java
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobs
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 permissions

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