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Splice Machine System Properties
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|Editorial information provided by DB-Engines|
|Description||Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark|
|Primary database model||Relational DBMS|
|Current release||3.1, March 2021|
|License Commercial or Open Source||Open Source AGPL 3.0, commercial license available|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes|
|SQL Support of SQL||yes|
|APIs and other access methods||JDBC|
Native Spark Datasource
|Supported programming languages||C#|
|Server-side scripts Stored procedures||yes Java|
|Partitioning methods Methods for storing different data on different nodes||Shared Nothhing Auto-Sharding, Columnar Partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||Yes, via Full Spark Integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes, multi-version concurrency control (MVCC)|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Access rights for users, groups and roles according to SQL-standard|
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|Recent citations in the news|
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