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DBMS > FatDB vs. Ingres vs. MarkLogic vs. OrigoDB vs. Sadas Engine

System Properties Comparison FatDB vs. Ingres vs. MarkLogic vs. OrigoDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonIngres  Xexclude from comparisonMarkLogic  Xexclude from comparisonOrigoDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Well established RDBMSOperational and transactional Enterprise NoSQL databaseA fully ACID in-memory object graph databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.actian.com/­databases/­ingreswww.marklogic.comorigodb.comwww.sadasengine.com
Technical documentationdocs.actian.com/­ingresdocs.marklogic.comorigodb.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperFatCloudActian CorporationMarkLogic Corp.Robert Friberg et alSADAS s.r.l.
Initial release20121974 infooriginally developed at University Berkely in early 1970s20012009 infounder the name LiveDB2006
Current release11.2, May 202211.0, December 20228.0
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Sourcecommercial 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 languageC#CC++C#C++
Server operating systemsWindowsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
AIX
Linux
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.no infobut tools for importing/exporting data from/to XML-files availableyesno infocan be achieved using .NETno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryesyes infoSQL92noyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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
HTTP API
LINQ
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infovia applicationsyesyes infovia XQuery or JavaScriptyesno
Triggersyes infovia applicationsyesyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres ReplicatoryesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsRole based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
FatDBIngresMarkLogicOrigoDBSadas Engine
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