DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Sadas Engine vs. Splice Machine
System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Sadas Engine vs. Splice Machine
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB Xexclude from comparison||Sadas Engine Xexclude from comparison||Splice Machine Xexclude from comparison|
|Description||An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum||SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments||Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Developer||Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group||SADAS s.r.l.||Splice Machine|
|Current release||8.0||3.1, March 2021|
|License Commercial or Open Source||commercial||commercial free trial version available||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.||yes||no|
|SQL Support of SQL||yes||yes||yes|
|APIs and other access methods||JDBC|
Native Spark Datasource
|Supported programming languages||C|
|Server-side scripts Stored procedures||yes||no||yes Java|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||horizontal partitioning||Shared Nothhing Auto-Sharding, Columnar Partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||none||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||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||yes||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||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.||no||yes managed by 'Learn by Usage'||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||Access rights for users, groups and roles according to SQL-standard||Access rights for users, groups and roles according to SQL-standard|
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|Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB||Sadas Engine||Splice Machine|
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