DBMS > Alibaba Cloud MaxCompute vs. Kinetica vs. Microsoft SQL Server vs. RDF4J
System Properties Comparison Alibaba Cloud MaxCompute vs. Kinetica vs. Microsoft SQL Server vs. RDF4J
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud MaxCompute Xexclude from comparison||Kinetica Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||RDF4J formerly known as Sesame Xexclude from comparison|
|Description||MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing||GPU-accelerated database for real-time analysis of large and streaming datasets||Microsofts relational DBMS||RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.|
|Primary database model||Relational DBMS a graph-processing framework is available with the graphs being stored in tables||Relational DBMS||Relational DBMS||RDF store|
|Secondary database models||Document store|
|Developer||Alibaba||Kinetica||Microsoft||Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.|
|Current release||6.0||SQL Server 2017, October 2017|
|License Commercial or Open Source||commercial||commercial||commercial restricted free version is available||Open Source Eclipse Distribution License (EDL), v1.0.|
|Cloud-based only Only available as a cloud service||yes||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C, C++||C++||Java|
|Server operating systems||hosted||Linux||Linux|
|Data scheme||yes||yes||yes||yes RDF Schemas|
|Typing predefined data types such as float or date||yes||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||no||yes|
|SQL Support of SQL||SQL-like query language||SQL-like DML and DDL statements||yes||no|
|APIs and other access methods||Fluentd|
|RESTful HTTP API|
Tabular Data Stream (TDS)
RIO RDF Input/Output
SeRQL Sesame RDF Query Language
Sesame REST HTTP Protocol
|Supported programming languages||Java||C++|
|Server-side scripts Stored procedures||user defined functions in Java||user defined functions||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes|
|Triggers||no||yes triggers when inserted values for one or more columns fall within a specified range||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||Master-slave replication||yes, but depending on the SQL-Server Edition||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID||ACID Isolation support depends on the API used|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes||yes in-memory storage is supported as well|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes GPU vRAM or System RAM||yes|
|User concepts Access control||Access rights for users and roles||Access rights for users and roles on table level||fine grained access rights according to SQL-standard||no|
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|Alibaba Cloud MaxCompute||Kinetica||Microsoft SQL Server||RDF4J formerly known as Sesame|
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|Conferences and events|
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