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DBMS > Badger vs. Microsoft Azure AI Search vs. Pinecone vs. SiteWhere

System Properties Comparison Badger vs. Microsoft Azure AI Search vs. Pinecone vs. SiteWhere

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPinecone  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Search-as-a-service for web and mobile app developmentA managed, cloud-native vector databaseM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeSearch engineVector DBMSTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerazure.microsoft.com/­en-us/­services/­searchwww.pinecone.iogithub.com/­sitewhere/­sitewhere
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerlearn.microsoft.com/­en-us/­azure/­searchdocs.pinecone.io/­docs/­overviewsitewhere1.sitewhere.io/­index.html
DeveloperDGraph LabsMicrosoftPinecone Systems, IncSiteWhere
Initial release2017201520192010
Current releaseV1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
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 languageGoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedhostedLinux
OS X
Windows
Data schemeschema-freeyespredefined scheme
Typing infopredefined data types such as float or datenoyesString, 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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIHTTP REST
Supported programming languagesGoC#
Java
JavaScript
Python
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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 controlnoyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
BadgerMicrosoft Azure AI SearchPineconeSiteWhere
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