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DBMS > Apache IoTDB vs. Hypertable vs. mSQL vs. Percona Server for MySQL vs. Sphinx

System Properties Comparison Apache IoTDB vs. Hypertable vs. mSQL vs. Percona Server for MySQL vs. Sphinx

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHypertable  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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 FlinkAn open source BigTable implementation based on distributed file systems such as HadoopmSQL (Mini SQL) is a simple and lightweight RDBMSEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSWide column storeRelational DBMSRelational DBMSSearch engine
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
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteiotdb.apache.orghughestech.com.au/­products/­msqlwww.percona.com/­software/­mysql-database/­percona-serversphinxsearch.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.percona.com/­downloads/­Percona-Server-LATESTsphinxsearch.com/­docs
DeveloperApache Software FoundationHypertable Inc.Hughes TechnologiesPerconaSphinx Technologies Inc.
Initial release20182009199420082001
Current release1.1.0, April 20230.9.8.11, March 20164.4, October 20218.0.36-28, 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercial infofree licenses can be providedOpen Source infoGPL version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonoyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
Native API
C++ API
Thrift
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor on file system levelnoneMulti-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesnonoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Apache IoTDBHypertablemSQL infoMini SQLPercona Server for MySQLSphinx
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