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DBMS > EDB Postgres vs. etcd vs. HBase vs. Valentina Server

System Properties Comparison EDB Postgres vs. etcd vs. HBase vs. Valentina Server

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonetcd  Xexclude from comparisonHBase  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A distributed reliable key-value storeWide-column store based on Apache Hadoop and on concepts of BigTableObject-relational database and reports server
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.enterprisedb.cometcd.io
github.com/­etcd-io/­etcd
hbase.apache.orgwww.valentina-db.net
Technical documentationwww.enterprisedb.com/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hbase.apache.org/­book.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperEnterpriseDBApache Software Foundation infoApache top-level project, originally developed by PowersetParadigma Software
Initial release200520081999
Current release14, December 20213.4, August 20192.3.4, January 20215.7.5
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoJava
Server operating systemsLinux
Windows
FreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infostandard with numerous extensionsnonoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
Java API
RESTful HTTP API
Thrift
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoCoprocessors in Javayes
Triggersyesyes, watching key changesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
EDB PostgresetcdHBaseValentina Server
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