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DBMS > Badger vs. gStore vs. Lovefield vs. Pinecone

System Properties Comparison Badger vs. gStore vs. Lovefield vs. Pinecone

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisongStore  Xexclude from comparisonLovefield  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A native Graph DBMS to store and maintain very large RDF datasets.Embeddable relational database for web apps written in pure JavaScriptA managed, cloud-native vector database
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitegithub.com/­dgraph-io/­badgeren.gstore.cngoogle.github.io/­lovefieldwww.pinecone.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeren.gstore.cn/­#/­enDocsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.pinecone.io/­docs/­overview
DeveloperDGraph LabsGooglePinecone Systems, Inc
Initial release2017201620142019
Current release1.2, November 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or datenoyesyesString, Number, Boolean
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.nononono
Secondary indexesnoyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsHTTP API
SPARQL 1.1
RESTful HTTP API
Supported programming languagesGoC++
Java
JavaScript (Node.js)
PHP
Python
JavaScriptPython
Server-side scripts infoStored proceduresnoyesno
TriggersnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBno
User concepts infoAccess controlnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportedno

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More resources
BadgergStoreLovefieldPinecone
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