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DBMS > Apache IoTDB vs. Google Cloud Spanner vs. searchxml vs. SiteWhere vs. SQL.JS

System Properties Comparison Apache IoTDB vs. Google Cloud Spanner vs. searchxml vs. SiteWhere vs. SQL.JS

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonsearchxml  Xexclude from comparisonSiteWhere  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA 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.DBMS for structured and unstructured content wrapped with an application serverM2M integration platform for persisting/querying time series dataPort of SQLite to JavaScript
Primary database modelTime Series DBMSRelational DBMSNative XML DBMS
Search engine
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteiotdb.apache.orgcloud.google.com/­spannerwww.searchxml.net/­category/­productsgithub.com/­sitewhere/­sitewheresql.js.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcloud.google.com/­spanner/­docswww.searchxml.net/­support/­handoutssitewhere1.sitewhere.io/­index.htmlsql.js.org/­documentation/­index.html
DeveloperApache Software FoundationGoogleinformationpartners gmbhSiteWhereAlon Zakai infoenhancements implemented by others
Initial release20182017201520102012
Current release1.1.0, April 20231.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaJavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)hostedWindowsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011nonoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
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
RESTful HTTP API
WebDAV
XQuery
XSLT
HTTP RESTJavaScript API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsJavaScript
Server-side scripts infoStored proceduresyesnoyes infoon the application serverno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication with 3 replicas for regional instances.yes infosychronisation to multiple collectionsselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationmultiple readers, single writernoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Domain, group and role-based access control at the document level and for application servicesUsers with fine-grained authorization conceptno

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More resources
Apache IoTDBGoogle Cloud SpannersearchxmlSiteWhereSQL.JS
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