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DBMS > etcd vs. RethinkDB vs. Sadas Engine vs. SAP SQL Anywhere vs. Spark SQL

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

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonRethinkDB  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 storeDBMS for the Web with a mechanism to push updated query results to applications in realtime.SADAS 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 storeDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score2.74
Rank#105  Overall
#19  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
rethinkdb.comwww.sadasengine.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sql
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
rethinkdb.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationhelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperThe Linux Foundation infosince July 2017SADAS s.r.l.SAP infoformerly SybaseApache Software Foundation
Initial release2009200619922014
Current release3.4, August 20192.4.1, August 20208.017, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial 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 languageGoC++C++Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
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 datenoyes infostring, binary, float, bool, date, geometryyesyesyes
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 indexesnoyesyesyesno
SQL infoSupport of SQLnonoyesyesSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
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 infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.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 proceduresnonoyes, in C/C++, Java, .Net or Perlno
Triggersyes, watching key changesClient-side triggers through changefeedsnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding inforange basedhorizontal 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.Source-replica replicationnoneSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyesyes
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'yesno
User concepts infoAccess controlnoyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
etcdRethinkDBSadas EngineSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
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