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DBMS > Dgraph vs. Hawkular Metrics vs. HEAVY.AI vs. HugeGraph vs. Lovefield

System Properties Comparison Dgraph vs. Hawkular Metrics vs. HEAVY.AI vs. HugeGraph vs. Lovefield

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMSTime Series DBMSRelational 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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitedgraph.iowww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefield
Technical documentationdgraph.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aihugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDgraph Labs, Inc.Community supported by Red HatHEAVY.AI, Inc.BaiduGoogle
Initial release20162014201620182014
Current release5.10, January 20220.92.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++ and CUDAJavaJavaScript
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeyesyesyes
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 indexesyesnonoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonoyesnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP RESTJDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Groovy
Java
Python
JavaScript
Server-side scripts infoStored proceduresnononoasynchronous Gremlin script jobsno
Triggersnoyes infovia Hawkular AlertingnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesyesSharding infobased on CassandraSharding infoRound robinyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftselectable replication factor infobased on CassandraMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, 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.noyesyesyes infousing MemoryDB
User concepts infoAccess controlno infoPlanned for future releasesnofine grained access rights according to SQL-standardUsers, roles and permissionsno

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More resources
DgraphHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HugeGraphLovefield
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