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DBMS > Greenplum vs. KeyDB vs. MarkLogic vs. Quasardb

System Properties Comparison Greenplum vs. KeyDB vs. MarkLogic vs. Quasardb

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonKeyDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOperational and transactional Enterprise NoSQL databaseDistributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegreenplum.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.progress.com/­marklogicquasar.ai
Technical documentationdocs.greenplum.orgdocs.keydb.devwww.progress.com/­marklogic/­documentationdoc.quasar.ai/­master
DeveloperPivotal Software Inc.EQ Alpha Technology Ltd.MarkLogic Corp.quasardb
Initial release2005201920012009
Current release7.0.0, September 202311.0, December 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-3commercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinuxLinuxLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes infointeger and binary
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 infosince Version 4.2noyesno
Secondary indexesyesyes infoby using the Redis Search moduleyesyes infowith tags
SQL infoSupport of SQLyesnoyes infoSQL92SQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesLuayes infovia XQuery or JavaScriptno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control and ACLRole-based access control at the document and subdocument levelsCryptographically strong user authentication and audit trail

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More resources
GreenplumKeyDBMarkLogicQuasardb
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