DBMS > MySQL vs. Sphinx vs. TDengine
System Properties Comparison MySQL vs. Sphinx vs. TDengine
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|Editorial information provided by DB-Engines|
|Name||MySQL Xexclude from comparison||Sphinx Xexclude from comparison||TDengine Xexclude from comparison|
|Description||Widely used open source RDBMS||Open source search engine for searching in data from different sources, e.g. relational databases||Time Series DBMS and big data platform|
|Primary database model||Relational DBMS Key/Value like access via memcached API||Search engine||Time Series DBMS|
|Secondary database models||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||Sphinx Technologies Inc.||TDEngine, previously Taos Data|
|Current release||8.1.0, July 2023||3.5.1, February 2023||3.0, August 2022|
|License Commercial or Open Source||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source GPL version 2, commercial licence available||Open Source GPL V3, also commercial editions available|
|Cloud-based only Only available as a cloud service||no||no||no|
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|PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.|
|Implementation language||C and C++||C++||C|
|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||yes||no||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes||no|
|Secondary indexes||yes||yes full-text index on all search fields||no|
|SQL Support of SQL||yes with proprietary extensions||SQL-like query language (SphinxQL)||Standard SQL with extensions for time-series applications|
|APIs and other access methods||ADO.NET|
Proprietary native API
RESTful HTTP API
|Supported programming languages||Ada|
|C++ unofficial client library|
Perl unofficial client library
Ruby unofficial client library
|Server-side scripts Stored procedures||yes proprietary syntax||no||no|
|Triggers||yes||no||yes, via alarm monitoring|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||Sharding Partitioning is done manually, search queries against distributed index is supported||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||yes not for MyISAM storage engine||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID not for MyISAM storage engine||no|
|Concurrency Support for concurrent manipulation of data||yes table locks or row locks depending on storage engine||yes||yes|
|Durability Support for making data persistent||yes||yes The original contents of fields are not stored in the Sphinx index.||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Users with fine-grained authorization concept no user groups or roles||no||yes|
|More information provided by the system vendor|
|Specific characteristics||TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...|
|Competitive advantages||High Performance: TDengine is purpose-built for handling massive industrial datasets,...|
|Typical application scenarios||TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...|
|Market metrics||TDengine has garnered over 21,000 stars on GitHub and is used in over 50 countries...|
|Licensing and pricing models||TDengine OSS is an open source, cloud native time series database. It includes built-in...|
TDengine High Availability Cluster
TDengine 184.108.40.206 Release Notes
What Is the Industrial IoT?
Ingesting Data from PI System
What Is a Data Historian?
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|Related products and services|
|3rd parties||PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime. |
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