DBMS > Google Cloud Bigtable vs. MonetDB vs. Splice Machine
System Properties Comparison Google Cloud Bigtable vs. MonetDB vs. Splice Machine
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Bigtable Xexclude from comparison||MonetDB Xexclude from comparison||Splice Machine Xexclude from comparison|
|Description||Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.||A relational database management system that stores data in columns||Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark|
|Primary database model||Key-value store|
Wide column store
|Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||MonetDB BV||Splice Machine|
|Current release||Jul2021-SP2, July 2021||3.1, March 2021|
|License Commercial or Open Source||commercial||Open Source Mozilla Public License 2.0||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||FreeBSD|
|Typing predefined data types such as float or date||no||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|
|SQL Support of SQL||no||yes SQL 2003 with some extensions||yes|
|APIs and other access methods||gRPC (using protocol buffers) API|
HappyBase (Python library)
HBase compatible API (Java)
native C library MAPI library (MonetDB application programming interface)
Native Spark Datasource
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||yes, in SQL, C, R||yes Java|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding via remote tables||Shared Nothhing Auto-Sharding, Columnar Partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Internal replication in Colossus, and regional replication between two clusters in different zones||none Source-replica replication available in experimental status||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||Yes, via Full Spark Integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-row 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.||no||yes|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||fine grained access rights according to SQL-standard||Access rights for users, groups and roles according to SQL-standard|
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|Google Cloud Bigtable||MonetDB||Splice Machine|
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