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DBMS > Apache IoTDB vs. Google Cloud Spanner vs. mSQL vs. searchxml vs. Typesense

System Properties Comparison Apache IoTDB vs. Google Cloud Spanner vs. mSQL vs. searchxml vs. Typesense

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonsearchxml  Xexclude from comparisonTypesense  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.mSQL (Mini SQL) is a simple and lightweight RDBMSDBMS for structured and unstructured content wrapped with an application serverA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelTime Series DBMSRelational DBMSRelational DBMSNative XML DBMS
Search engine
Search engine
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
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.79
Rank#210  Overall
#14  Search engines
Websiteiotdb.apache.orgcloud.google.com/­spannerhughestech.com.au/­products/­msqlwww.searchxml.net/­category/­productstypesense.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcloud.google.com/­spanner/­docswww.searchxml.net/­support/­handoutstypesense.org/­docs
DeveloperApache Software FoundationGoogleHughes Technologiesinformationpartners gmbh
Initial release20182017199420152015
Current release1.1.0, April 20234.4, October 20211.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
WindowsLinux
Data schemeyesyesyesschema-freeschema-free infopre-defined schema optional
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.nononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
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
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infomost other programming languages supported via APIs.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyesnonoyes infoon the application serverno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonenone
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.noneyes infosychronisation to multiple collectionsMulti-source replication using RAFT
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 ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyes 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 datanoACID infoStrict serializable isolationnomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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)noDomain, group and role-based access control at the document level and for application services

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More resources
Apache IoTDBGoogle Cloud SpannermSQL infoMini SQLsearchxmlTypesense
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