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DBMS > Databricks vs. Fauna vs. mSQL vs. STSdb vs. XTDB

System Properties Comparison Databricks vs. Fauna vs. mSQL vs. STSdb vs. XTDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonXTDB infoformerly named Crux  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.Fauna 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 RDBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.databricks.comfauna.comhughestech.com.au/­products/­msqlgithub.com/­STSSoft/­STSdb4github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comdocs.fauna.comwww.xtdb.com/­docs
DeveloperDatabricksFauna, Inc.Hughes TechnologiesSTS Soft SCJuxt Ltd.
Initial release20132014199420112019
Current release4.4, October 20214.0.8, September 20151.19, September 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedOpen Source infoGPLv2, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCC#Clojure
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
WindowsAll OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyes infoprimitive types and user defined types (classes)yes, extensible-data-notation format
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.yesnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
.NET Client APIHTTP REST
JDBC
Supported programming languagesPython
R
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C++
Delphi
Java
Perl
PHP
Tcl
C#
Java
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnonenoneyes, each node contains all data
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 integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlIdentity management, authentication, and access controlnono
More information provided by the system vendor
DatabricksFauna infopreviously named FaunaDBmSQL infoMini SQLSTSdbXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFauna infopreviously named FaunaDBmSQL infoMini SQLSTSdbXTDB infoformerly named Crux
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