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DBMS > HugeGraph vs. Pinecone vs. Realm

System Properties Comparison HugeGraph vs. Pinecone vs. Realm

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPinecone  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA managed, cloud-native vector databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelGraph DBMSVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score3.29
Rank#94  Overall
#2  Vector DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.pinecone.iorealm.io
Technical documentationhugegraph.apache.org/­docsdocs.pinecone.io/­docs/­overviewrealm.io/­docs
DeveloperBaiduPinecone Systems, IncRealm, acquired by MongoDB in May 2019
Initial release201820192014
Current release0.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
macOS
Unix
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes
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 API
Supported programming languagesGroovy
Java
Python
Python.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
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 persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realm
User concepts infoAccess controlUsers, roles and permissionsyes

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HugeGraphPineconeRealm
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