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DBMS > Kinetica vs. LMDB vs. Netezza vs. Trafodion

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

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLMDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 libraryData warehouse and analytics appliance part of IBM PureSystemsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value storeRelational 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
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.kinetica.comwww.symas.com/­symas-embedded-database-lmdbwww.ibm.com/­products/­netezzatrafodion.apache.org
Technical documentationdocs.kinetica.comwww.lmdb.tech/­doctrafodion.apache.org/­documentation.html
DeveloperKineticaSymasIBMApache Software Foundation, originally developed by HP
Initial release2012201120002014
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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC++, Java
Server operating systemsLinuxLinux
Unix
Windows
Linux infoincluded in applianceLinux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
ADO.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
C
C++
Fortran
Java
Lua
Perl
Python
R
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsnoyesJava Stored Procedures
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes 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 integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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 RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
KineticaLMDBNetezza infoAlso called PureData System for Analytics by IBMTrafodion
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