DBMS > GeoSpock vs. Google Cloud Spanner
System Properties Comparison GeoSpock vs. Google Cloud Spanner
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|Editorial information provided by DB-Engines|
|Name||GeoSpock Xexclude from comparison||Google Cloud Spanner Xexclude from comparison|
|GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.|
|Description||Spatial and temporal data processing engine for extreme data scale||A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.|
|Primary database model||Relational DBMS||Relational DBMS|
|Secondary database models||Time Series DBMS|
|Current release||2.0, September 2019|
|License Commercial or Open Source||commercial||commercial|
|Cloud-based only Only available as a cloud service||yes||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||hosted|
|Typing predefined data types such as float or date||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||no|
|Secondary indexes||temporal, categorical||yes|
|SQL Support of SQL||ANSI SQL for query only (using Presto)||yes Query statements complying to ANSI 2011|
|APIs and other access methods||JDBC||gRPC (using protocol buffers) API|
JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
|Supported programming languages||Go|
|Server-side scripts Stored procedures||no||no|
|Partitioning methods Methods for storing different data on different nodes||Automatic sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication with 3 replicas for regional instances.|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes using Google Cloud Dataflow|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID Strict serializable isolation|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Access rights for users can be defined per table||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)|
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|GeoSpock||Google Cloud Spanner|
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