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DBMS > Databricks vs. OpenQM vs. Riak KV vs. SQream DB vs. UniData,UniVerse

System Properties Comparison Databricks vs. OpenQM vs. Riak KV vs. SQream DB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRiak KV  Xexclude from comparisonSQream DB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.QpenQM is a high-performance, self-tuning, multi-value DBMSDistributed, fault tolerant key-value storea GPU-based, columnar RDBMS for big data analytics workloadsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument store
Relational DBMS
Multivalue DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.databricks.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsqream.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.databricks.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.sqream.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDatabricksRocket Software, originally Martin PhillipsOpenSource, formerly Basho TechnologiesSQream TechnologiesRocket Software
Initial release20131993200920171985
Current release3.4-123.2.0, December 20222022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache version 2, commercial enterprise editioncommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++, CUDA, Haskell, Java, ScalaC
Server operating systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infowith some exceptionsschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesoptional
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.yesyesno
Secondary indexesyesyesrestrictednoyes
SQL infoSupport of SQLwith Databricks SQLnonoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
.Net
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesPython
R
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
JavaScript (Node.js)
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesErlanguser defined functions in Pythonyes
Triggersyesyes infopre-commit hooks and post-commit hooksnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesyesSharding infono "single point of failure"horizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.no
User concepts infoAccess controlAccess rights can be defined down to the item levelyes, using Riak SecurityAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
DatabricksOpenQM infoalso called QMRiak KVSQream DBUniData,UniVerse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOpenQM infoalso called QMRiak KVSQream DBUniData,UniVerse
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