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DBMS > HEAVY.AI vs. Hive vs. jBASE vs. Kinetica vs. Riak KV

System Properties Comparison HEAVY.AI vs. Hive vs. jBASE vs. Kinetica vs. Riak KV

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHive  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwaredata warehouse software for querying and managing large distributed datasets, built on HadoopA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
hive.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.com
Technical documentationdocs.heavy.aicwiki.apache.org/­confluence/­display/­Hive/­Homedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperHEAVY.AI, Inc.Apache Software Foundation infoinitially developed by FacebookRocket Software (formerly Zumasys)KineticaOpenSource, formerly Basho Technologies
Initial release20162012199120122009
Current release5.10, January 20223.1.3, April 20225.77.1, August 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2commercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaC, C++Erlang
Server operating systemsLinuxAll OS with a Java VMAIX
Linux
Windows
LinuxLinux
OS X
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyesno
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.noyesnono
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLyesSQL-like DML and DDL statementsEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
PHP
Python
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
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 proceduresnoyes infouser defined functions and integration of map-reduceyesuser defined functionsErlang
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factoryesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynononoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights can be defined down to the item levelAccess rights for users and roles on table levelyes, using Riak Security

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HivejBASEKineticaRiak KV
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