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DBMS > HugeGraph vs. Pinecone vs. SiriDB

System Properties Comparison HugeGraph vs. Pinecone vs. SiriDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPinecone  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA managed, cloud-native vector databaseOpen Source Time Series DBMS
Primary database modelGraph DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.pinecone.iosiridb.com
Technical documentationhugegraph.apache.org/­docsdocs.pinecone.io/­docs/­overviewdocs.siridb.com
DeveloperBaiduPinecone Systems, IncCesbit
Initial release201820192017
Current release0.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
macOS
Unix
hostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes infoNumeric data
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
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIHTTP API
Supported programming languagesGroovy
Java
Python
PythonC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
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-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 permissionssimple rights management via user accounts

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More resources
HugeGraphPineconeSiriDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

POC exploit code published for 9.8-rated Apache HugeGraph RCE flaw
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