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DBMS > etcd vs. Sadas Engine vs. Spark SQL vs. Transwarp KunDB

System Properties Comparison etcd vs. Sadas Engine vs. Spark SQL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.50
Rank#50  Overall
#6  Key-value stores
Score0.02
Rank#345  Overall
#153  Relational DBMS
Score22.61
Rank#35  Overall
#21  Relational DBMS
Score0.05
Rank#336  Overall
#150  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.sadasengine.comspark.apache.org/­sqlwww.transwarp.cn/­en/­product/­kundb
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSADAS s.r.l.Apache Software FoundationTranswarp
Initial release20062014
Current release3.4, August 20198.03.3.0 ( 2.13), June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree trial version availableOpen Source infoApache 2.0commercial
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 languageGoC++Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyes
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononoyes
Triggersyes, watching key changesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardnoyes

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More resources
etcdSadas EngineSpark SQLTranswarp KunDB
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