DBMS > Google BigQuery vs. Google Cloud Spanner vs. SiriDB
System Properties Comparison Google BigQuery vs. Google Cloud Spanner vs. SiriDB
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|Editorial information provided by DB-Engines|
|Name||Google BigQuery Xexclude from comparison||Google Cloud Spanner Xexclude from comparison||SiriDB Xexclude from comparison|
|Description||Large scale data warehouse service with append-only tables||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.||Open Source Time Series DBMS|
|Primary database model||Relational DBMS||Relational DBMS||Time Series DBMS|
|License Commercial or Open Source||commercial||commercial||Open Source MIT License|
|Cloud-based only Only available as a cloud service||yes||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||hosted||Linux|
|Typing predefined data types such as float or date||yes||yes||yes Numeric data|
|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||no|
|SQL Support of SQL||yes||yes Query statements complying to ANSI 2011||no|
|APIs and other access methods||RESTful HTTP/JSON API||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||.Net|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication with 3 replicas for regional instances.||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes using Google Cloud Dataflow||no|
|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||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no Since BigQuery is designed for querying data||ACID Strict serializable isolation||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||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.||no||no||yes|
|User concepts Access control||Access privileges (owner, writer, reader) on dataset, table or view level Google Cloud Identity & Access Management (IAM)||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||simple rights management via user accounts|
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|Google BigQuery||Google Cloud Spanner||SiriDB|
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