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DBMS > etcd vs. SAP SQL Anywhere vs. Spark SQL

System Properties Comparison etcd vs. SAP SQL Anywhere vs. Spark SQL

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA distributed reliable key-value storeRDBMS 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 storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.81
Rank#47  Overall
#5  Key-value stores
Score5.57
Rank#74  Overall
#40  Relational DBMS
Score23.12
Rank#35  Overall
#21  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.sap.com/­products/­sql-anywhere.htmlspark.apache.org/­sql
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
help.sap.com/­sql-anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSAP infoformerly SybaseApache Software Foundation
Initial release19922014
Current release3.4, August 201917, July 20153.3.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
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
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes, in C/C++, Java, .Net or Perlno
Triggersyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, 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 replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
etcdSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
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