DBMS > DolphinDB vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. Tkrzw
System Properties Comparison DolphinDB vs. Microsoft SQL Server vs. SAP SQL Anywhere vs. Tkrzw
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|Editorial information provided by DB-Engines|
|Name||DolphinDB Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet Xexclude from comparison|
|Description||DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.||Microsofts flagship relational DBMS||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments||A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet|
|Primary database model||Time Series DBMS||Relational DBMS||Relational DBMS||Key-value store|
|Secondary database models||Relational DBMS||Document store|
|Developer||DolphinDB, Inc||Microsoft||SAP formerly Sybase||Mikio Hirabayashi|
|Current release||v2.00.4, January 2022||SQL Server 2019, November 2019||17, July 2015||0.9.3, August 2020|
|License Commercial or Open Source||commercial free community version available||commercial restricted free version is available||commercial||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||no||no||no|
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|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||yes||yes||no|
|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||no|
|SQL Support of SQL||SQL-like query language||yes||yes||no|
|APIs and other access methods||JDBC|
JSON over HTTP
MQTT (Message Queue Telemetry Transport)
Tabular Data Stream (TDS)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||yes||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes, in C/C++, Java, .Net or Perl||no|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning||tables can be distributed across several files (horizontal partitioning); sharding through federation||none||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||yes, but depending on the SQL-Server Edition||Source-replica replication Database mirroring||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||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes||yes||yes using specific database classes|
|User concepts Access control||Administrators, Users, Groups||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||no|
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|DolphinDB||Microsoft SQL Server||SAP SQL Anywhere formerly called Adaptive Server Anywhere||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet|
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