DBMS > Google Cloud Spanner vs. Hypertable
System Properties Comparison Google Cloud Spanner vs. Hypertable
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Spanner Xexclude from comparison||Hypertable Xexclude from comparison|
|Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.|
|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.||An open source BigTable implementation based on distributed file systems such as Hadoop|
|Primary database model||Relational DBMS||Wide column store|
|Current release||0.9.8.11, March 2016|
|License Commercial or Open Source||commercial||Open Source GNU version 3. Commercial license available|
|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|
Windows an inofficial Windows port is available
|Typing predefined data types such as float or date||yes||no|
|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|
|Secondary indexes||yes||restricted only exact value or prefix value scans|
|SQL Support of SQL||yes Query statements complying to ANSI 2011||no|
|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||Go|
|Server-side scripts Stored procedures||no||no|
|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.||selectable replication factor on file system level|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate 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||no|
|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|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||no|
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|Google Cloud Spanner||Hypertable|
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