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DBMS > Apache Pinot vs. Cachelot.io vs. HEAVY.AI vs. Kinetica

System Properties Comparison Apache Pinot vs. Cachelot.io vs. HEAVY.AI vs. Kinetica

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCachelot.io  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIn-memory caching systemA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitepinot.apache.orgcachelot.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.com
Technical documentationdocs.pinot.apache.orgdocs.heavy.aidocs.kinetica.com
DeveloperApache Software Foundation and contributorsHEAVY.AI, Inc.Kinetica
Initial release2015201520162012
Current release1.0.0, September 20235.10, January 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoSimplified BSD LicenseOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++ and CUDAC, C++
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
OS X
LinuxLinux
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like DML and DDL statements
APIs and other access methodsJDBCMemcached protocolJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
Apache PinotCachelot.ioHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Kinetica
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