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DBMS > Apache IoTDB vs. mSQL vs. OrigoDB vs. Sequoiadb vs. Sqrrl

System Properties Comparison Apache IoTDB vs. mSQL vs. OrigoDB vs. Sequoiadb vs. Sqrrl

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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 FlinkmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseNewSQL database with distributed OLTP and SQLAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Document store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteiotdb.apache.orghughestech.com.au/­products/­msqlorigodb.comwww.sequoiadb.comsqrrl.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlorigodb.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software FoundationHughes TechnologiesRobert Friberg et alSequoiadb Ltd.Amazon infooriginally Sqrrl Data, Inc.
Initial release201819942009 infounder the name LiveDB20132012
Current release1.1.0, April 20234.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#C++Java
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
LinuxLinux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes infooid, date, timestamp, binary, regexyes
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.nonono infocan be achieved using .NETno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query languageno
APIs and other access methodsJDBC
Native API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
proprietary protocol using JSONAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net.Net
C++
Java
PHP
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesnoyesJavaScriptno
Triggersyesnoyes infoDomain Eventsnono
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 synchronizedShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneSource-replica replicationSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDDocument is locked during a transactionAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlyesnoRole based authorizationsimple password-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Apache IoTDBmSQL infoMini SQLOrigoDBSequoiadbSqrrl
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