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DBMS > Kinetica vs. LMDB vs. Pinecone vs. Trafodion

System Properties Comparison Kinetica vs. LMDB vs. Pinecone vs. Trafodion

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLMDB  Xexclude from comparisonPinecone  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database libraryA managed, cloud-native vector databaseTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value storeVector DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.kinetica.comwww.symas.com/­symas-embedded-database-lmdbwww.pinecone.iotrafodion.apache.org
Technical documentationdocs.kinetica.comwww.lmdb.tech/­docdocs.pinecone.io/­docs/­overviewtrafodion.apache.org/­documentation.html
DeveloperKineticaSymasPinecone Systems, IncApache Software Foundation, originally developed by HP
Initial release2012201120192014
Current release7.1, August 20210.9.32, January 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC++, Java
Server operating systemsLinuxLinux
Unix
Windows
hostedLinux
Data schemeyesschema-freeyes
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.nononono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
PythonAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Procedures
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yes infoGPU vRAM or System RAMyesnono
User concepts infoAccess controlAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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More resources
KineticaLMDBPineconeTrafodion
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