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DBMS > Google BigQuery vs. HEAVY.AI vs. Hive vs. InterSystems IRIS vs. Newts

System Properties Comparison Google BigQuery vs. HEAVY.AI vs. Hive vs. InterSystems IRIS vs. Newts

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHive  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA 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 containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitecloud.google.com/­bigquerygithub.com/­heavyai/­heavydb
www.heavy.ai
hive.apache.orgwww.intersystems.com/­products/­intersystems-irisopennms.github.io/­newts
Technical documentationcloud.google.com/­bigquery/­docsdocs.heavy.aicwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­OpenNMS/­newts/­wiki
DeveloperGoogleHEAVY.AI, Inc.Apache Software Foundation infoinitially developed by FacebookInterSystemsOpenNMS Group
Initial release20102016201220182014
Current release5.10, January 20223.1.3, April 20222023.3, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaJava
Server operating systemshostedLinuxAll OS with a Java VMAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
Data schemeyesyesyesdepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsyesno
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
PHP
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infouser defined functions and integration of map-reduceyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanonoACIDno
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.noyesyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users, groups and rolesyesno
More information provided by the system vendor
Google BigQueryHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HiveInterSystems IRISNewts
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Google BigQueryHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HiveInterSystems IRISNewts
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