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DBMS > Apache IoTDB vs. mSQL vs. OrigoDB vs. Sphinx vs. VelocityDB

System Properties Comparison Apache IoTDB vs. mSQL vs. OrigoDB vs. Sphinx vs. VelocityDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonVelocityDB  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 FlinkmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Search engineGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websiteiotdb.apache.orghughestech.com.au/­products/­msqlorigodb.comsphinxsearch.comvelocitydb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlorigodb.com/­docssphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperApache Software FoundationHughes TechnologiesRobert Friberg et alSphinx Technologies Inc.VelocityDB Inc
Initial release201819942009 infounder the name LiveDB20012011
Current release1.1.0, April 20234.4, October 20213.5.1, February 20237.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#C++C#
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Any that supports .NET
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsnoyes
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 indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
Native API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Proprietary protocol.Net
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Server-side scripts infoStored proceduresyesnoyesnono
Triggersyesnoyes infoDomain EventsnoCallbacks are triggered when data changes
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 synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
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 replicationnone
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
noneImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlyesnoRole based authorizationnoBased on Windows Authentication

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More resources
Apache IoTDBmSQL infoMini SQLOrigoDBSphinxVelocityDB
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