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DBMS > etcd vs. IBM Db2 vs. jBASE vs. Solr

System Properties Comparison etcd vs. IBM Db2 vs. jBASE vs. Solr

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonjBASE  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA distributed reliable key-value storeCommon in IBM host environments, 2 different versions for host and Windows/LinuxA robust multi-value DBMS comprising development tools and middlewareA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBMultivalue DBMSSearch engine
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasesolr.apache.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2docs.rocketsoftware.com/­bundle?labelkey=jbase_5.9solr.apache.org/­resources.html
DeveloperIBMRocket Software (formerly Zumasys)Apache Software Foundation
Initial release1983 infohost version19912006
Current release3.4, August 201912.1, October 20165.79.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree version is availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesoptionalyes infosupports customizable data types and automatic typing
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.noyesyes
Secondary indexesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesEmbedded SQL for jBASE in BASICSolr Parallel SQL Interface
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
Basic
Jabbascript
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyesJava plugins
Triggersyes, watching key changesyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infowith separate tools (MQ, InfoSphere)yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights can be defined down to the item levelyes

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More resources
etcdIBM Db2 infoformerly named DB2 or IBM Database 2jBASESolr
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