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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Microsoft Access vs. Newts vs. VelocityDB

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Microsoft Access vs. Newts vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  Xexclude from comparisonVelocityDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Time Series DBMS based on CassandraA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSTime Series 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
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score0.04
Rank#383  Overall
#42  Time Series DBMS
Score0.08
Rank#362  Overall
#38  Graph DBMS
#15  Object oriented DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newtsvelocitydb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wikivelocitydb.com/­UserGuide
DeveloperAmazonAtos Convergence CreatorsMicrosoftOpenNMS GroupVelocityDB Inc
Initial release20172016199220142011
Current release17031902 (16.0.11328.20222), March 20197.x
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0commercial
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 languageJavaC++JavaC#
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Any that supports .NET
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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 SQLnonoyes infobut not compliant to any SQL standardnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
.Net
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java.Net
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenono
Triggersnoyesyes infosince Access 2010 using the ACE-enginenoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneSharding infobased on CassandraSharding
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.yesnoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationno infoa simple user-level security was built in till version Access 2003noBased on Windows Authentication

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More resources
Amazon NeptuneAtos Standard Common RepositoryMicrosoft AccessNewtsVelocityDB
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