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DBMS > Databend vs. searchxml vs. Spark SQL vs. STSdb vs. UniData,UniVerse

System Properties Comparison Databend vs. searchxml vs. Spark SQL vs. STSdb vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSNative XML DBMS
Search engine
Relational DBMSKey-value storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.searchxml.net/­category/­productsspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.databend.comwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDatabend Labsinformationpartners gmbhApache Software FoundationSTS Soft SCRocket Software
Initial release20212015201420111985
Current release1.0.59, April 20231.03.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++ScalaC#C
Server operating systemshosted
Linux
macOS
WindowsLinux
OS X
Windows
WindowsAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)optional
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.noyesno
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
.NET Client APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
C#
Java
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infoon the application servernonoyes
Triggersnonononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infosychronisation to multiple collectionsnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesmultiple readers, single writernonoACID 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.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesDomain, group and role-based access control at the document level and for application servicesnonoAccess rights according to SQL-standard and operating system based

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More resources
DatabendsearchxmlSpark SQLSTSdbUniData,UniVerse
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