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DBMS > Badger vs. HEAVY.AI vs. Ingres vs. InterSystems IRIS vs. RavenDB

System Properties Comparison Badger vs. HEAVY.AI vs. Ingres vs. InterSystems IRIS vs. RavenDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingreswww.intersystems.com/­products/­intersystems-irisravendb.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.heavy.aidocs.actian.com/­ingresdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsravendb.net/­docs
DeveloperDGraph LabsHEAVY.AI, Inc.Actian CorporationInterSystemsHibernating Rhinos
Initial release201720161974 infooriginally developed at University Berkely in early 1970s20182010
Current release5.10, January 202211.2, May 20222023.3, June 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercialOpen Source infoAGPL version 3, commercial license available
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 languageGoC++ and CUDACC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesdepending on used data modelschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoyesyesyesSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGoAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyesyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationIngres ReplicatorSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.noyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesAuthorization levels configured per client per database
More information provided by the system vendor
BadgerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresInterSystems IRISRavenDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BadgerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresInterSystems IRISRavenDB
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