DBMS > Amazon DocumentDB vs. SAP SQL Anywhere vs. Splice Machine
System Properties Comparison Amazon DocumentDB vs. SAP SQL Anywhere vs. Splice Machine
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|Editorial information provided by DB-Engines|
|Name||Amazon DocumentDB Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison||Splice Machine Xexclude from comparison|
|Description||Fast, scalable, highly available, and fully managed MongoDB-compatible database service||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments||Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark|
|Primary database model||Document store||Relational DBMS||Relational DBMS|
|Developer||SAP formerly Sybase||Splice Machine|
|Current release||17, July 2015||3.1, March 2021|
|License Commercial or Open Source||commercial||commercial||Open Source AGPL 3.0, commercial license available|
|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||AIX|
|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|
|SQL Support of SQL||no||yes||yes|
|APIs and other access methods||proprietary protocol using JSON (MongoDB compatible)||ADO.NET|
Native Spark Datasource
|Supported programming languages||Go|
|Server-side scripts Stored procedures||no||yes, in C/C++, Java, .Net or Perl||yes Java|
|Partitioning methods Methods for storing different data on different nodes||none||none||Shared Nothhing Auto-Sharding, Columnar Partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas||Source-replica replication Database mirroring||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||no||Yes, via Full Spark Integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-document operations||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes, multi-version concurrency control (MVCC)|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||Access rights for users and roles||fine grained access rights according to SQL-standard||Access rights for users, groups and roles according to SQL-standard|
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|Amazon DocumentDB||SAP SQL Anywhere formerly called Adaptive Server Anywhere||Splice Machine|
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