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DBMS > Drizzle vs. mSQL vs. Rockset vs. Sphinx vs. TDengine

System Properties Comparison Drizzle vs. mSQL vs. Rockset vs. Sphinx vs. TDengine

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.mSQL (Mini SQL) is a simple and lightweight RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitehughestech.com.au/­products/­msqlrockset.comsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.rockset.comsphinxsearch.com/­docsdocs.tdengine.com
DeveloperDrizzle project, originally started by Brian AkerHughes TechnologiesRocksetSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release20081994201920012019
Current release7.2.4, September 20124.4, October 20213.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree licenses can be providedcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++C++C
Server operating systemsFreeBSD
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesdynamic typingnoyes
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.nono infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infowith proprietary extensionsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsJDBCJDBC
ODBC
HTTP RESTProprietary protocolJDBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C
C++
Delphi
Java
Perl
PHP
Tcl
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonononono
Triggersno infohooks for callbacks inside the server can be used.nononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users and organizations can be defined via Rockset consolenoyes
More information provided by the system vendor
DrizzlemSQL infoMini SQLRocksetSphinxTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
DrizzlemSQL infoMini SQLRocksetSphinxTDengine
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