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DBMS > Apache IoTDB vs. Cloudflare Workers KV vs. mSQL vs. OrigoDB vs. TimesTen

System Properties Comparison Apache IoTDB vs. Cloudflare Workers KV vs. mSQL vs. OrigoDB vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimesTen  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 global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.mSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSKey-value storeRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteiotdb.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvhughestech.com.au/­products/­msqlorigodb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.cloudflare.com/­kv/­apiorigodb.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationCloudflareHughes TechnologiesRobert Friberg et alOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2018201819942009 infounder the name LiveDB1998
Current release1.1.0, April 20234.4, October 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Sourcecommercial
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#
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NETno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes
APIs and other access methodsJDBC
Native API
HTTP REST
Proprietary protocol
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnonoyesPL/SQL
Triggersyesnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes
User concepts infoAccess controlyesnoRole based authorizationfine grained access rights according to SQL-standard

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More resources
Apache IoTDBCloudflare Workers KVmSQL infoMini SQLOrigoDBTimesTen
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