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DBMS > Amazon Neptune vs. Ingres vs. MarkLogic vs. Sadas Engine vs. SWC-DB

System Properties Comparison Amazon Neptune vs. Ingres vs. MarkLogic vs. Sadas Engine vs. SWC-DB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonIngres  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudWell established RDBMSOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
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
#158  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteaws.amazon.com/­neptunewww.actian.com/­databases/­ingreswww.marklogic.comwww.sadasengine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.actian.com/­ingresdocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonActian CorporationMarkLogic Corp.SADAS s.r.l.Alex Kashirin
Initial release20171974 infooriginally developed at University Berkely in early 1970s200120062020
Current release11.2, May 202211.0, December 20228.00.5, April 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial infofree trial version availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
AIX
Linux
Windows
Linux
Data schemeschema-freeyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availableyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyes infoSQL92yesSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.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
JDBC
ODBC
Proprietary protocol
Proprietary protocol
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Server-side scripts infoStored proceduresnoyesyes infovia XQuery or JavaScriptnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Ingres Replicatoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard

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Amazon NeptuneIngresMarkLogicSadas EngineSWC-DB infoSuper Wide Column Database
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