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DBMS > etcd vs. Riak KV vs. Sadas Engine vs. SAP SQL Anywhere vs. Spark SQL

System Properties Comparison etcd vs. Riak KV vs. Sadas Engine vs. SAP SQL Anywhere vs. Spark SQL

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA distributed reliable key-value storeDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.54
Rank#46  Overall
#5  Key-value stores
Score6.09
Rank#64  Overall
#7  Key-value stores
Score0.04
Rank#329  Overall
#142  Relational DBMS
Score5.66
Rank#69  Overall
#38  Relational DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
riak.com/­products/­riak-kvwww.sadasengine.comwww.sap.com/­products/­sql-anywhere.htmlspark.apache.org/­sql
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbhelp.sap.com/­sql-anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBasho TechnologiesSADAS s.r.l.SAP infoformerly SybaseApache Software Foundation
Initial release2009200619922014
Current release3.4, August 20192.1.0, April 20158.017, July 20153.2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlangC++Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
AIX
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nononoyesno
Secondary indexesnorestrictedyesyesno
SQL infoSupport of SQLnonoyesyesSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
ADO.NET
HTTP API
JDBC
ODBC
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 infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJavaScript and Erlangnoyes, in C/C++, Java, .Net or Perlno
Triggersyes, watching key changesyes infopre-commit hooks and post-commit hooksnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioningnoneyes, 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.selectable replication factornoneSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
etcdRiak KVSadas EngineSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
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