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DBMS > Heroic vs. Ingres vs. XTDB vs. Yanza

System Properties Comparison Heroic vs. Ingres vs. XTDB vs. Yanza

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIngres  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.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchWell established RDBMSA general purpose database with bitemporal SQL and Datalog and graph queriesTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­spotify/­heroicwww.actian.com/­databases/­ingresgithub.com/­xtdb/­xtdb
www.xtdb.com
yanza.com
Technical documentationspotify.github.io/­heroicdocs.actian.com/­ingreswww.xtdb.com/­docs
DeveloperSpotifyActian CorporationJuxt Ltd.Yanza
Initial release20141974 infooriginally developed at University Berkely in early 1970s20192015
Current release11.2, May 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMIT Licensecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono 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 languageJavaCClojure
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, 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 availablenono
Secondary indexesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLnoyeslimited SQL, making use of Apache Calciteno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
JDBC
HTTP API
Supported programming languagesClojure
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres Replicatoryes, each node contains all datanone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes, 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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
HeroicIngresXTDB infoformerly named CruxYanza
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