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DBMS > Linter vs. Pinecone vs. SiteWhere

System Properties Comparison Linter vs. Pinecone vs. SiteWhere

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonPinecone  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionRDBMS for high security requirementsA managed, cloud-native vector databaseM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitelinter.ruwww.pinecone.iogithub.com/­sitewhere/­sitewhere
Technical documentationdocs.pinecone.io/­docs/­overviewsitewhere1.sitewhere.io/­index.html
Developerrelex.ruPinecone Systems, IncSiteWhere
Initial release199020192010
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
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 languageC and C++Java
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedLinux
OS X
Windows
Data schemeyespredefined scheme
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 indexesyesno
SQL infoSupport of SQLyesnono
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIHTTP REST
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Python
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
LinterPineconeSiteWhere
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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