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DBMS > Badger vs. Fauna vs. Pinecone vs. Splunk

System Properties Comparison Badger vs. Fauna vs. Pinecone vs. Splunk

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonPinecone  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A managed, cloud-native vector databaseAnalytics Platform for Big Data
Primary database modelKey-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Vector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitegithub.com/­dgraph-io/­badgerfauna.comwww.pinecone.iowww.splunk.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.fauna.comdocs.pinecone.io/­docs/­overviewdocs.splunk.com/­Documentation/­Splunk
DeveloperDGraph LabsFauna, Inc.Pinecone Systems, IncSplunk Inc.
Initial release2017201420192003
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoString, 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.nononoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnononono infoSplunk Search Processing Language for search commands
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIHTTP REST
Supported programming languagesGoC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
PythonC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnoIdentity management, authentication, and access controlAccess rights for users and roles

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More resources
BadgerFauna infopreviously named FaunaDBPineconeSplunk
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