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DBMS > OpenQM vs. Spark SQL vs. Stardog vs. Yanza

System Properties Comparison OpenQM vs. Spark SQL vs. Stardog vs. Yanza

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS for IoT Applications
Primary database modelMultivalue DBMSRelational DBMSGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmspark.apache.org/­sqlwww.stardog.comyanza.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.com
DeveloperRocket Software, originally Martin PhillipsApache Software FoundationStardog-UnionYanza
Initial release1993201420102015
Current release3.4-123.5.0 ( 2.13), September 20237.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial 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 languageScalaJava
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Windows
Data schemeyes infowith some exceptionsyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesnono infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesnoyes infovia event handlersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyesyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights can be defined down to the item levelnoAccess rights for users and rolesno

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More resources
OpenQM infoalso called QMSpark SQLStardogYanza
Recent citations in the news

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services
24 January 2024, AWS Blog

What is Apache Spark? The big data platform that crushed Hadoop
3 April 2024, InfoWorld

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2024
1 April 2024, Simplilearn

1.5 Years of Spark Knowledge in 8 Tips | by Michael Berk
23 December 2023, Towards Data Science

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

provided by Google News



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