DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > OpenQM vs. Spark SQL vs. Transbase

System Properties Comparison OpenQM vs. Spark SQL vs. Transbase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelMultivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.43
Rank#249  Overall
#10  Multivalue DBMS
Score21.39
Rank#34  Overall
#20  Relational DBMS
Score0.26
Rank#279  Overall
#129  Relational DBMS
Websitewww.openqm.comspark.apache.org/­sqlwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technical documentationwww.openqm.com/­support/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­transbase-inside
DeveloperMartin PhillipsApache Software FoundationTransaction Software GmbH
Initial release199320141987
Current release3.4-123.1.1, March 2021Transbase 8.4, September 2020
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights can be defined down to the item levelnofine grained access rights according to SQL-standard

More information provided by the system vendor

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
OpenQM infoalso called QMSpark SQLTransbase
Recent citations in the news

OpenQM In The Cloud
5 March 2019, International Spectrum Magazine

Encompass Eliminates Downtime with jBASE from Zumasys
2 October 2018, GlobeNewswire

provided by Google News

2015 - Spark Takes the Big Data World by Storm
1 July 2021, Datanami

Latest big data developments in the realm of data lakehouse
23 July 2021, VentureBeat

Beginner's Guide To Machine Learning With Apache Spark
16 July 2021, Analytics India Magazine

Microsoft : Accelerate big data analytics with Spark 3.0 connector for SQL Server—now generally available
13 July 2021, marketscreener.com

Start artificial intelligence for IoT in bite-size pieces
15 July 2021, TechTarget

provided by Google News

Job opportunities

Software Developer
Starcrest Products Of California, Perris, CA

Software Developer-UniData
Starcrest Products Of California, Perris, CA

MultiValue Database Programming Group Manager
Applied Concepts, Richardson, TX

Data Engineer (AWS, Spark, SQL) (W2 only)
Syrinx, Remote

AI/Machine Learning Engineer
Priority Technology Holdings, LLC, Alpharetta, GA

Python/Spark/SQL Data Egnineer
Zettalogix, Iselin, NJ

spark Developer with SQL and HIVE
Quinnel soft, Hartford, CT

Sr. SSIS package/ SQL developers
Intone Networks, Boston, MA

jobs by Indeed



Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Neo4j logo

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

Present your product here