DBMS > Citus vs. Coveo vs. Google Cloud Spanner
System Properties Comparison Citus vs. Coveo vs. Google Cloud Spanner
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|Editorial information provided by DB-Engines|
|Name||Citus Xexclude from comparison||Coveo Xexclude from comparison||Google Cloud Spanner Xexclude from comparison|
|Description||Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL||AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development||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||Search engine||Relational DBMS|
|Secondary database models||Document store|
|Current release||8.1, December 2018|
|License Commercial or Open Source||Open Source AGPL, commercial license also available||commercial||commercial|
|Cloud-based only Only available as a cloud service||no||yes||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux||hosted||hosted|
|Data scheme||yes||hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration||yes|
|Typing predefined data types such as float or date||yes||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.||yes specific XML type available, but no XML query functionality||no||no|
|SQL Support of SQL||yes standard, with numerous extensions||no||yes Query statements complying to ANSI 2011|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
|RESTful HTTP 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|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||yes||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||yes||Multi-source replication with 3 replicas for regional instances.|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||yes using Google Cloud Dataflow|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||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||yes||ACID Strict serializable isolation|
|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|
|User concepts Access control||fine grained access rights according to SQL-standard||granular access controls, API key management, content filters||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)|
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|Citus||Coveo||Google Cloud Spanner|
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