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DBMS > etcd vs. mSQL vs. OrigoDB vs. Spark SQL

System Properties Comparison etcd vs. mSQL vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA distributed reliable key-value storemSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.66
Rank#55  Overall
#6  Key-value stores
Score1.41
Rank#170  Overall
#78  Relational DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
hughestech.com.au/­products/­msqlorigodb.comspark.apache.org/­sql
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
origodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHughes TechnologiesRobert Friberg et alApache Software Foundation
Initial release19942009 infounder the name LiveDB2014
Current release3.4, August 20194.4, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC#Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersyes, watching key changesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.noneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnonoRole based authorizationno

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More resources
etcdmSQL infoMini SQLOrigoDBSpark SQL
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