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DBMS > HugeGraph vs. Newts vs. Stardog vs. Trino

System Properties Comparison HugeGraph vs. Newts vs. Stardog vs. Trino

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNewts  Xexclude from comparisonStardog  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSTime Series DBMS based on CassandraEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMSTime Series DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
opennms.github.io/­newtswww.stardog.comtrino.io
Technical documentationhugegraph.apache.org/­docsgithub.com/­OpenNMS/­newts/­wikidocs.stardog.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperBaiduOpenNMS GroupStardog-UnionTrino Software Foundation
Initial release2018201420102012 info2020 rebranded from PrestoSQL
Current release0.97.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaJavaJavaJava
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
Linux
macOS
Windows
Linux
macOS infofor devlopment
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportyes
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 infoImport/export of XML data possibleno
Secondary indexesyes infoalso supports composite index and range indexnoyes infosupports real-time indexing in full-text and geospatialdepending on connected data-source
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
Java API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGroovy
Java
Python
Java.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnouser defined functions and aggregates, HTTP Server extensions in Javayes, depending on connected data-source
Triggersnonoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on Cassandranonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on CassandraMulti-source replication in HA-Clusterdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency in HA-Clusterdepending on connected data-source
Foreign keys infoReferential integrityyes infoedges in graphnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsnoAccess rights for users and rolesSQL standard access control
More information provided by the system vendor
HugeGraphNewtsStardogTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
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Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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More resources
HugeGraphNewtsStardogTrino
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