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DBMS > Badger vs. Google BigQuery vs. HEAVY.AI vs. InterSystems IRIS vs. OpenMLDB

System Properties Comparison Badger vs. Google BigQuery vs. HEAVY.AI vs. InterSystems IRIS vs. OpenMLDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Large 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 hardwareA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgercloud.google.com/­bigquerygithub.com/­heavyai/­heavydb
www.heavy.ai
www.intersystems.com/­products/­intersystems-irisopenmldb.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigquery/­docsdocs.heavy.aidocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsopenmldb.ai/­docs/­zh/­main
DeveloperDGraph LabsGoogleHEAVY.AI, Inc.InterSystems4 Paradigm Inc.
Initial release20172010201620182020
Current release5.10, January 20222023.3, June 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ and CUDAC++, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeschema-freeyesyesdepending on used data modelFixed schema
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyesno
Secondary indexesnononoyesyes
SQL infoSupport of SQLnoyesyesyesyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
JDBC
SQLAlchemy
Supported programming languagesGo.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoRound robinShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanoACIDno
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.nonoyesyesyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerGoogle BigQueryHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems IRISOpenMLDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BadgerGoogle BigQueryHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems IRISOpenMLDB
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