DBMS > H2 vs. Splice Machine vs. Yanza
System Properties Comparison H2 vs. Splice Machine vs. Yanza
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|Editorial information provided by DB-Engines|
|Name||H2 Xexclude from comparison||Splice Machine Xexclude from comparison||Yanza Xexclude from comparison|
|Description||Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.||Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark||Time Series DBMS for IoT Applications|
|Primary database model||Relational DBMS||Relational DBMS||Time Series DBMS|
|Secondary database models||Spatial DBMS|
|Developer||Thomas Mueller||Splice Machine||Yanza|
|Current release||2.1.214, June 2022||3.1, March 2021|
|License Commercial or Open Source||Open Source dual-licence (Mozilla public license, Eclipse public license)||Open Source AGPL 3.0, commercial license available||commercial free version available|
|Cloud-based only Only available as a cloud service||no||no||no but mainly used as a service provided by Yanza|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||All OS with a Java VM||Linux|
|Typing predefined data types such as float or date||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||no|
|SQL Support of SQL||yes||yes||no|
|APIs and other access methods||JDBC|
Native Spark Datasource
|Supported programming languages||Java||C#|
|any language that supports HTTP calls|
|Server-side scripts Stored procedures||Java Stored Procedures and User-Defined Functions||yes Java||no|
|Triggers||yes||yes||yes Timer and event based|
|Partitioning methods Methods for storing different data on different nodes||none||Shared Nothhing Auto-Sharding, Columnar Partitioning||none|
|Replication methods Methods for redundantly storing data on multiple nodes||With clustering: 2 database servers on different computers operate on identical copies of a database||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||Yes, via Full Spark Integration||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes, multi-version concurrency control (MVCC)||yes, multi-version concurrency control (MVCC)||yes|
|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||fine grained access rights according to SQL-standard||Access rights for users, groups and roles according to SQL-standard||no|
|More information provided by the system vendor|
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