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

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

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGigaSpaces  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 storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSADAS 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 store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
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
www.gigaspaces.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
docs.gigaspaces.com/­latest/­landing.htmlwww.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
DeveloperGigaspaces TechnologiesSADAS s.r.l.SAP infoformerly SybaseApache Software Foundation
Initial release2000200619922014
Current release3.4, August 201915.5, September 20208.017, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial 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 languageGoJava, C++, .NetC++Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
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 datenoyesyesyesyes
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.nono infoXML can be used for describing objects metadatanoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesyesSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
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
.Net
C++
Java
Python
Scala
.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 proceduresnoyesnoyes, in C/C++, Java, .Net or Perlno
Triggersyes, watching key changesyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.noyesyes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlnoRole-based access controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardno

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