DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > HEAVY.AI vs. Ingres vs. InterSystems IRIS vs. XTDB vs. Yanza

System Properties Comparison HEAVY.AI vs. Ingres vs. InterSystems IRIS vs. XTDB vs. Yanza

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA 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 scalabilityA general purpose database with bitemporal SQL and Datalog and graph queriesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score4.39
Rank#81  Overall
#13  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingreswww.intersystems.com/­products/­intersystems-irisgithub.com/­xtdb/­xtdb
www.xtdb.com
yanza.com
Technical documentationdocs.heavy.aidocs.actian.com/­ingresdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.xtdb.com/­docs
DeveloperHEAVY.AI, Inc.Actian CorporationInterSystemsJuxt Ltd.Yanza
Initial release20161974 infooriginally developed at University Berkely in early 1970s201820192015
Current release5.10, January 202211.2, May 20222023.3, June 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialOpen Source infoMIT Licensecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDACClojure
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
All OS with a Java 8 (and higher) VM
Linux
Windows
Data schemeyesyesdepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation formatno
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.nono infobut tools for importing/exporting data from/to XML-files availableyesnono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLyesyesyeslimited SQL, making use of Apache Calciteno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
HTTP REST
JDBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyesyesnono
Triggersnoyesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationIngres ReplicatorSource-replica replicationyes, each node contains all datanone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresInterSystems IRISXTDB infoformerly named CruxYanza
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresInterSystems IRISXTDB infoformerly named CruxYanza
Recent citations in the news

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, businesswire.com

Making the most of geospatial intelligence
14 April 2023, InfoWorld

HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks
16 February 2023, Datanami

The insideBIGDATA IMPACT 50 List for Q4 2023
11 October 2023, insideBIGDATA

provided by Google News

New startup from Postgres creator puts the database at heart of software stack
12 March 2024, TechCrunch

Postgres pioneer Michael Stonebraker promises to upend the database once more
26 December 2023, The Register

Actian Launches Ingres as a Fully-Managed Cloud Service
24 September 2021, Integration Developers

PostgreSQL now top developer choice ahead of MySQL, according to massive new survey • DEVCLASS
13 June 2023, DevClass

Dr. Michael Stonebraker: A Short History of Database Systems
1 February 2019, The New Stack

provided by Google News

InterSystems collaborates with Imagelink Software to accelerate digital transformation for Malaysian government and ...
24 April 2024, Yahoo Finance

Unlocking the Power of Generative AI: InterSystems IRIS with Vector Search -
26 March 2024, HIT Consultant

InterSystems Expands IRIS Data Platform with Vector Search to Support Next-Gen AI Applications
26 March 2024, Datanami

InterSystems expands InterSystems IRIS data platform with vector search to support next-generation AI applications
16 April 2024, ITWeb

InterSystems and IPA's Subsidiary BioStrand Collaborate to Unveil the Innovative Integration of Vector Search with ...
28 March 2024, Business Wire

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Present your product here