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DBMS > Adabas vs. etcd vs. GeoSpock vs. GridGain vs. Postgres-XL

System Properties Comparison Adabas vs. etcd vs. GeoSpock vs. GridGain vs. Postgres-XL

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonetcd  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA distributed reliable key-value storeSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelMultivalue DBMSKey-value storeRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#87  Overall
#1  Multivalue DBMS
Score7.66
Rank#55  Overall
#6  Key-value stores
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.56
Rank#253  Overall
#115  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmletcd.io
github.com/­etcd-io/­etcd
geospock.comwww.gridgain.comwww.postgres-xl.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.gridgain.com/­docs/­index.htmlwww.postgres-xl.org/­documentation
DeveloperSoftware AGGeoSpockGridGain Systems, Inc.
Initial release197120072014 infosince 2012, originally named StormDB
Current release3.4, August 20192.0, September 2019GridGain 8.5.110 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoMozilla public license
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 languageGoJava, JavascriptJava, C++, .NetC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
FreeBSD
Linux
Windows infoexperimental
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-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.nononoyesyes infoXML type, but no XML query functionality
Secondary indexesyesnotemporal, categoricalyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLyes infodistributed, parallel query execution
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
gRPC
JSON over HTTP
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesNatural.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin Naturalnonoyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersnoyes, watching key changesnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID infoMVCC
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.nononoyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noAccess rights for users can be defined per tableSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"etcdGeoSpockGridGainPostgres-XL
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