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DBMS > EDB Postgres vs. EsgynDB vs. Quasardb vs. Riak KV

System Properties Comparison EDB Postgres vs. EsgynDB vs. Quasardb vs. Riak KV

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonEsgynDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.enterprisedb.comwww.esgyn.cnquasar.ai
Technical documentationwww.enterprisedb.com/­docsdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperEnterpriseDBEsgynquasardbOpenSource, formerly Basho Technologies
Initial release2005201520092009
Current release14, December 20213.14.1, January 20243.2.0, December 2022
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise edition
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 languageCC++, JavaC++Erlang
Server operating systemsLinux
Windows
LinuxBSD
Linux
OS X
Windows
Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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.nonono
Secondary indexesyesyesyes infowith tagsrestricted
SQL infoSupport of SQLyes infostandard with numerous extensionsyesSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP APIHTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored ProceduresnoErlang
Triggersyesnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingSharding infoconsistent hashingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication between multi datacentersSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes, using Riak Security

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More resources
EDB PostgresEsgynDBQuasardbRiak KV
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