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DBMS > Dgraph vs. HEAVY.AI vs. HugeGraph vs. JanusGraph vs. Lovefield

System Properties Comparison Dgraph vs. HEAVY.AI vs. HugeGraph vs. JanusGraph vs. Lovefield

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHugeGraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fast-speed and highly-scalable Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMSRelational DBMSGraph DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitedgraph.iogithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­hugegraph
hugegraph.apache.org
janusgraph.orggoogle.github.io/­lovefield
Technical documentationdgraph.io/­docsdocs.heavy.aihugegraph.apache.org/­docsdocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDgraph Labs, Inc.HEAVY.AI, Inc.BaiduLinux Foundation; originally developed as Titan by AureliusGoogle
Initial release20162016201820172014
Current release5.10, January 20220.90.6.3, February 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ and CUDAJavaJavaJavaScript
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Unix
Linux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoyesnonoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Groovy
Java
Python
Clojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsyesno
TriggersnononoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoRound robinyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDB
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardUsers, roles and permissionsUser authentification and security via Rexster Graph Serverno

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More resources
DgraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HugeGraphJanusGraph infosuccessor of TitanLovefield
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