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DBMS > Citus vs. Galaxybase vs. Google Cloud Spanner vs. SiteWhere

System Properties Comparison Citus vs. Galaxybase vs. Google Cloud Spanner vs. SiteWhere

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGalaxybase  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLScalable, ACID-compliant native distributed parallel graph platformA 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.M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSGraph DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.citusdata.comgalaxybase.comcloud.google.com/­spannergithub.com/­sitewhere/­sitewhere
Technical documentationdocs.citusdata.comcloud.google.com/­spanner/­docssitewhere1.sitewhere.io/­index.html
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GoogleSiteWhere
Initial release2010201720172010
Current release8.1, December 2018Nov 20, November 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and JavaJava
Server operating systemsLinuxLinuxhostedLinux
OS X
Windows
Data schemeyesStrong typed schemayespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined procedures and functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication with 3 replicas for regional instances.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept

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More resources
CitusGalaxybaseGoogle Cloud SpannerSiteWhere
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