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DBMS > Apache Pinot vs. Cachelot.io vs. Kinetica vs. Teradata

System Properties Comparison Apache Pinot vs. Cachelot.io vs. Kinetica vs. Teradata

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCachelot.io  Xexclude from comparisonKinetica  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIn-memory caching systemFully vectorized database across both GPUs and CPUsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitepinot.apache.orgcachelot.iowww.kinetica.comwww.teradata.com
Technical documentationdocs.pinot.apache.orgdocs.kinetica.comdocs.teradata.com
DeveloperApache Software Foundation and contributorsKineticaTeradata
Initial release2015201520121984
Current release1.0.0, September 20237.1, August 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoSimplified BSD Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C, C++
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
OS X
Linuxhosted
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes
Secondary indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsyes infoSQL 2016 + extensions
APIs and other access methodsJDBCMemcached protocolJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes
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 controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Apache PinotCachelot.ioKineticaTeradata
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