DBMS > Google Cloud Spanner vs. Sequoiadb
System Properties Comparison Google Cloud Spanner vs. Sequoiadb
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Spanner Xexclude from comparison||Sequoiadb Xexclude from comparison|
|Description||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.||NewSQL database with distributed OLTP and SQL|
|Primary database model||Relational DBMS||Document store|
|License Commercial or Open Source||commercial||Open Source Server: AGPL; Client: Apache V2|
|Cloud-based only Only available as a cloud service||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||Linux|
|Typing predefined data types such as float or date||yes||yes oid, date, timestamp, binary, regex|
|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 Query statements complying to ANSI 2011||SQL-like query language|
|APIs and other access methods||gRPC (using protocol buffers) API|
JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
|proprietary protocol using JSON|
|Supported programming languages||Go|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication with 3 replicas for regional instances.||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Strict serializable isolation||Document is locked during a transaction|
|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, groups and roles based on Google Cloud Identity and Access Management (IAM)||simple password-based access control|
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|Google Cloud Spanner||Sequoiadb|
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