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DBMS > Amazon Neptune vs. MarkLogic vs. Sadas Engine vs. SQream DB vs. VelocityDB

System Properties Comparison Amazon Neptune vs. MarkLogic vs. Sadas Engine vs. SQream DB vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQream DB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsa GPU-based, columnar RDBMS for big data analytics workloadsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.82
Rank#109  Overall
#9  Graph DBMS
#5  RDF stores
Score7.08
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score0.06
Rank#371  Overall
#155  Relational DBMS
Score0.72
Rank#235  Overall
#108  Relational DBMS
Score0.08
Rank#362  Overall
#38  Graph DBMS
#15  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.marklogic.comwww.sadasengine.comsqream.comvelocitydb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.sqream.comvelocitydb.com/­UserGuide
DeveloperAmazonMarkLogic Corp.SADAS s.r.l.SQream TechnologiesVelocityDB Inc
Initial release20172001200620172011
Current release11.0, December 20228.02022.1.6, December 20227.x
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial infofree trial version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++, CUDA, Haskell, Java, ScalaC#
Server operating systemshostedLinux
OS X
Windows
AIX
Linux
Windows
LinuxAny that supports .NET
Data schemeschema-freeschema-free infoSchema can be enforcedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes
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.noyesnono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyes infoSQL92yesyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
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
.Net
JDBC
ODBC
.Net
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++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnouser defined functions in Pythonno
TriggersnoyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioninghorizontal and vertical 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.yesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yes, with Range Indexesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication

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More resources
Amazon NeptuneMarkLogicSadas EngineSQream DBVelocityDB
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