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DBMS > Apache Pinot vs. HEAVY.AI vs. Machbase Neo vs. Riak KV

System Properties Comparison Apache Pinot vs. HEAVY.AI vs. Machbase Neo vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareTimeSeries DBMS for AIoT and BigDataDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitepinot.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
machbase.com
Technical documentationdocs.pinot.apache.orgdocs.heavy.aimachbase.com/­dbmswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation and contributorsHEAVY.AI, Inc.MachbaseOpenSource, formerly Basho Technologies
Initial release2015201620132009
Current release1.0.0, September 20235.10, January 2022V8.0, August 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree test version availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDACErlang
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
macOS
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesrestricted
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageno
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Vega
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robinShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
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 persistentyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup table
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlyes, using Riak Security

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More resources
Apache PinotHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Machbase Neo infoFormer name was InfinifluxRiak KV
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