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DBMS > Google Cloud Spanner vs. IBM Cloudant vs. MarkLogic vs. SiteWhere

System Properties Comparison Google Cloud Spanner vs. IBM Cloudant vs. MarkLogic vs. SiteWhere

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMarkLogic  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA 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.Database as a Service offering based on Apache CouchDBOperational and transactional Enterprise NoSQL databaseM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitecloud.google.com/­spannerwww.ibm.com/­products/­cloudantwww.progress.com/­marklogicgithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­spanner/­docscloud.ibm.com/­docs/­Cloudantwww.progress.com/­marklogic/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MarkLogic Corp.SiteWhere
Initial release2017201020012010
Current release11.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++Java
Server operating systemshostedhostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedpredefined scheme
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyes infoSQL92no
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP/JSON APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptyes infovia XQuery or JavaScript
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
yesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationno infoatomic operations within a document possibleACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.nonoyes, with Range Indexesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseRole-based access control at the document and subdocument levelsUsers with fine-grained authorization concept

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More resources
Google Cloud SpannerIBM CloudantMarkLogicSiteWhere
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

Recent citations in the news

Google Cloud Spanner gets dual-region configuration option
23 July 2024, InfoWorld

Google Cloud adds graph and vector search features to Spanner database
2 August 2024, Techzine Europe

Google Cloud Enhances Spanner with Dual-Region Configuration
1 August 2024, InfoQ.com

New features make Google's Spanner a database for AI
1 August 2024, TechTarget

Google Cloud expands its database portfolio with new AI capabilities
1 August 2024, TechCrunch

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Progress Introduces MarkLogic FastTrack, Helping Organizations Harness the Power of Connected Data
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SiteWhere: An open platform for connected devices
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