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DBMS > DataFS vs. etcd vs. Greenplum vs. Kinetica vs. SAP SQL Anywhere

System Properties Comparison DataFS vs. etcd vs. Greenplum vs. Kinetica vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonetcd  Xexclude from comparisonGreenplum  Xexclude from comparisonKinetica  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A 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.Fully vectorized database across both GPUs and CPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelObject oriented DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitenewdatabase.cometcd.io
github.com/­etcd-io/­etcd
greenplum.orgwww.kinetica.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdev.mobiland.com/­Overview.xspetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.greenplum.orgdocs.kinetica.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperMobiland AGPivotal Software Inc.KineticaSAP infoformerly Sybase
Initial release2018200520121992
Current release1.1.263, October 20223.4, August 20197.0.0, September 20237.1, August 202117, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
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++
Server operating systemsWindowsFreeBSD
Linux
Windows infoexperimental
LinuxLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infosince Version 4.2noyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC
JSON over HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
Java
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functionsyes, in C/C++, Java, .Net or Perl
Triggersno, except callback-events from server when changes happenedyes, watching key changesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingnone
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 replicationSource-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
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.nononoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
DataFSetcdGreenplumKineticaSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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