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DBMS > etcd vs. GeoSpock vs. IRONdb vs. Linter vs. Postgres-XL

System Properties Comparison etcd vs. GeoSpock vs. IRONdb vs. Linter vs. Postgres-XL

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonLinter  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed reliable key-value storeSpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDBMS for high security requirementsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
geospock.comwww.circonus.com/solutions/time-series-database/linter.ruwww.postgres-xl.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.circonus.com/irondb/category/getting-startedwww.postgres-xl.org/­documentation
DeveloperGeoSpockCirconus LLC.relex.ru
Initial release201719902014 infosince 2012, originally named StormDB
Current release3.4, August 20192.0, September 2019V0.10.20, January 201810 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, JavascriptC and C++C and C++C
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes infotext, numeric, histogramsyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesnotemporal, categoricalnoyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)yesyes infodistributed, parallel query execution
APIs and other access methodsgRPC
JSON over HTTP
JDBCHTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyes, in Luayes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functions
Triggersyes, watching key changesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic, metric affinity per nodenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.configurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID 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.nononono
User concepts infoAccess controlnoAccess rights for users can be defined per tablenofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
etcdGeoSpockIRONdbLinterPostgres-XL
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