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DBMS > Apache Pinot vs. Cubrid vs. Kinetica vs. LMDB

System Properties Comparison Apache Pinot vs. Cubrid vs. Kinetica vs. LMDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCubrid  Xexclude from comparisonKinetica  Xexclude from comparisonLMDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPFully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database library
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Websitepinot.apache.orgcubrid.com (korean)
cubrid.org (english)
www.kinetica.comwww.symas.com/­symas-embedded-database-lmdb
Technical documentationdocs.pinot.apache.orgcubrid.org/­manualsdocs.kinetica.comwww.lmdb.tech/­doc
DeveloperApache Software Foundation and contributorsCUBRID Corporation, CUBRID FoundationKineticaSymas
Initial release2015200820122011
Current release1.0.0, September 202311.0, January 20217.1, August 20210.9.32, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaC, C++C
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
LinuxLinux
Unix
Windows
Data schemeyesyesyesschema-free
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
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
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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More resources
Apache PinotCubridKineticaLMDB
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