DBMS > Google Cloud Spanner vs. Hyprcubd vs. Lovefield
System Properties Comparison Google Cloud Spanner vs. Hyprcubd vs. Lovefield
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines
|Google Cloud Spanner Xexclude from comparison
|Hyprcubd Xexclude from comparison
|Lovefield Xexclude from comparison
|Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
|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.
|Serverless Time Series DBMS
|Primary database model
|Time Series DBMS
|2.1.12, February 2017
|License Commercial or Open Source
|Open Source Apache 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems
|Typing predefined data types such as float or date
|yes time, int, uint, float, string
|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.
|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
|Supported programming languages
|Server-side scripts Stored procedures
|Using read-only observers
|Partitioning methods Methods for storing different data on different nodes
|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
|yes using Google Cloud Dataflow
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|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
|ACID Strict serializable isolation
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes, by using IndexedDB or the cloud service Firebase Realtime Database
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes using MemoryDB
|User concepts Access control
|Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Google Cloud Spanner
|Recent citations in the news
Google Improves Cloud Spanner: More Compute and Storage without Price Increase
Google makes its Cloud Spanner database service faster and more cost-efficient
Google Cloud Spanner Is Now Half the Cost of Amazon DynamoDB
Google turns up the heat on AWS, claims Cloud Spanner is half the cost of DynamoDB
Building Uber's Fulfillment Platform for Planet-Scale using Google Cloud Spanner
provided by Google News
Share this page