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DBMS > Greenplum vs. Kyligence Enterprise vs. MarkLogic vs. RavenDB vs. Sadas Engine

System Properties Comparison Greenplum vs. Kyligence Enterprise vs. MarkLogic vs. RavenDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMarkLogic  Xexclude from comparisonRavenDB  Xexclude from comparisonSadas Engine  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.A distributed analytics engine for big data, built on top of Apache KylinOperational and transactional Enterprise NoSQL databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitegreenplum.orgkyligence.io/­kyligence-enterprisewww.marklogic.comravendb.netwww.sadasengine.com
Technical documentationdocs.greenplum.orgdocs.marklogic.comravendb.net/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperPivotal Software Inc.Kyligence, Inc.MarkLogic Corp.Hibernating RhinosSADAS s.r.l.
Initial release20052016200120102006
Current release7.0.0, September 202311.0, December 20225.4, July 20228.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source infoAGPL version 3, commercial license availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#C++
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
AIX
Linux
Windows
Data schemeyesyesschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)yes infoSQL92SQL-like query language (RQL)yes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScriptyesno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsAuthorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standard

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More resources
GreenplumKyligence EnterpriseMarkLogicRavenDBSadas Engine
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