DBMS > Amazon Neptune vs. Microsoft SQL Server vs. Teradata Aster
System Properties Comparison Amazon Neptune vs. Microsoft SQL Server vs. Teradata Aster
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|Editorial information provided by DB-Engines|
|Name||Amazon Neptune Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||Teradata Aster Xexclude from comparison|
|Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.|
|Description||Fast, reliable graph database built for the cloud||Microsofts flagship relational DBMS||Platform for big data analytics on multistructured data sources and types|
|Primary database model||Graph DBMS|
|Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Current release||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial||commercial restricted free version is available||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux|
|Data scheme||schema-free||yes||Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||yes in Aster File Store|
|SQL Support of SQL||no||yes||yes|
|APIs and other access methods||RDF 1.1 / SPARQL 1.1|
TinkerPop Gremlin 3.3
Tabular Data Stream (TDS)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||R packages|
|Partitioning methods Methods for storing different data on different nodes||none||tables can be distributed across several files (horizontal partitioning); sharding through federation||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones high availability, asynchronous replication for up to 15 read replicas||yes, but depending on the SQL-Server Edition||yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||yes SQL Map-Reduce Framework|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||yes Relationships in graphs||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes with encyption-at-rest||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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|Amazon Neptune||Microsoft SQL Server||Teradata Aster|
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