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DBMS > InfinityDB vs. Linter vs. Pinecone vs. SiteWhere

System Properties Comparison InfinityDB vs. Linter vs. Pinecone vs. SiteWhere

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Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonLinter  Xexclude from comparisonPinecone  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceRDBMS for high security requirementsA managed, cloud-native vector databaseM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteboilerbay.comlinter.ruwww.pinecone.iogithub.com/­sitewhere/­sitewhere
Technical documentationboilerbay.com/­infinitydb/­manualdocs.pinecone.io/­docs/­overviewsitewhere1.sitewhere.io/­index.html
DeveloperBoiler Bay Inc.relex.ruPinecone Systems, IncSiteWhere
Initial release2002199020192010
Current release4.0
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedLinux
OS X
Windows
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyespredefined scheme
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesString, 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 indexesno infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLnoyesnono
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIHTTP REST
Supported programming languagesJavaC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
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.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
InfinityDBLinterPineconeSiteWhere
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