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DBMS > etcd vs. Greenplum vs. Microsoft Azure SQL Database vs. SAP SQL Anywhere vs. Splice Machine

System Properties Comparison etcd vs. Greenplum vs. Microsoft Azure SQL Database vs. SAP SQL Anywhere vs. Splice Machine

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA distributed reliable key-value storeAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Database as a Service offering with high compatibility to Microsoft SQL ServerRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
greenplum.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsplicemachine.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.greenplum.orgdocs.microsoft.com/­en-us/­azure/­azure-sqlhelp.sap.com/­docs/­SAP_SQL_Anywheresplicemachine.com/­how-it-works
DeveloperPivotal Software Inc.MicrosoftSAP infoformerly SybaseSplice Machine
Initial release2005201019922014
Current release3.4, August 20197.0.0, September 2023V1217, July 20153.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
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.noyes infosince Version 4.2yesyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesyesyes
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
Java
Perl
Python
R
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesTransact SQLyes, in C/C++, Java, .Net or Perlyes infoJava
Triggersyes, watching key changesyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
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 replicationyes, with always 3 replicas availableSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
etcdGreenplumMicrosoft Azure SQL Database infoformerly SQL AzureSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplice Machine
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