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DBMS > Databend vs. Fauna vs. mSQL vs. Spark SQL vs. STSdb

System Properties Comparison Databend vs. Fauna vs. mSQL vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  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 complexityFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.mSQL (Mini SQL) is a simple and lightweight RDBMSSpark 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 method
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
fauna.comhughestech.com.au/­products/­msqlspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databend.comdocs.fauna.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDatabend LabsFauna, Inc.Hughes TechnologiesApache Software FoundationSTS Soft SC
Initial release20212014199420142011
Current release1.0.59, April 20234.4, October 20213.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustScalaCScalaC#
Server operating systemshosted
Linux
macOS
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes infoprimitive types and user defined types (classes)
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.nononono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
JDBC
ODBC
.NET Client API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnouser defined functionsnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesIdentity management, authentication, and access controlnonono

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More resources
DatabendFauna infopreviously named FaunaDBmSQL infoMini SQLSpark SQLSTSdb
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