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DBMS > Fauna vs. mSQL vs. Sadas Engine vs. Splice Machine vs. Tkrzw

System Properties Comparison Fauna vs. mSQL vs. Sadas Engine vs. Splice Machine vs. Tkrzw

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSadas Engine  Xexclude from comparisonSplice Machine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionFauna 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 RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitefauna.comhughestech.com.au/­products/­msqlwww.sadasengine.comsplicemachine.comdbmx.net/­tkrzw
Technical documentationdocs.fauna.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-works
DeveloperFauna, Inc.Hughes TechnologiesSADAS s.r.l.Splice MachineMikio Hirabayashi
Initial release20141994200620142020
Current release4.4, October 20218.03.1, March 20210.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedcommercial infofree trial version availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaCC++JavaC++
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesyesyesyesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoJavano
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes, multi-version concurrency control (MVCC)yes
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.nonoyes infomanaged by 'Learn by Usage'yesyes infousing specific database classes
User concepts infoAccess controlIdentity management, authentication, and access controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
Fauna infopreviously named FaunaDBmSQL infoMini SQLSadas EngineSplice MachineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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