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DBMS > etcd vs. JaguarDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. Valentina Server

System Properties Comparison etcd vs. JaguarDB vs. Microsoft Azure Table Storage vs. OpenEdge vs. Valentina Server

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA distributed reliable key-value storePerformant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemObject-relational database and reports server
Primary database modelKey-value storeKey-value store
Vector DBMS
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.jaguardb.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgewww.valentina-db.net
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.jaguardb.com/­support.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDataJaguar, Inc.MicrosoftProgress Software CorporationParadigma Software
Initial release2015201219841999
Current release3.4, August 20193.3 July 2023OpenEdge 12.2, March 20205.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0commercialcommercialcommercial
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++ infothe server part. Clients available in other languages
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
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.nononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes infoclose to SQL 92yes
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyesyes
Triggersyes, watching key changesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonononoyes
User concepts infoAccess controlnorights management via user accountsAccess rights based on private key authentication or shared access signaturesUsers and groupsfine grained access rights according to SQL-standard

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More resources
etcdJaguarDBMicrosoft Azure Table StorageOpenEdgeValentina Server
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