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DBMS > HugeGraph vs. PieCloudDB

System Properties Comparison HugeGraph vs. PieCloudDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPieCloudDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.openpie.com
Technical documentationhugegraph.apache.org/­docs
DeveloperBaiduOpenPie
Initial release2018
Current release0.92.1, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
macOS
Unix
hosted
Data schemeyesyes
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.no
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
CLI Client
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.yes
User concepts infoAccess controlUsers, roles and permissionsUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
HugeGraphPieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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HugeGraphPieCloudDB
Recent citations in the news

Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code
23 April 2024, GBHackers

provided by Google News



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