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DBMS > Sphinx vs. TDengine vs. TiDB

System Properties Comparison Sphinx vs. TDengine vs. TiDB

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonTDengine  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platformTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelSearch engineTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.05
Rank#70  Overall
#8  Search engines
Score2.62
Rank#128  Overall
#9  Time Series DBMS
Score3.46
Rank#101  Overall
#50  Relational DBMS
Websitesphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
pingcap.com
Technical documentationsphinxsearch.com/­docsdocs.tdengine.comdocs.pingcap.com/­tidb/­stable
DeveloperSphinx Technologies Inc.TDEngine, previously Taos DataPingCAP, Inc.
Initial release200120192016
Current release3.5.1, February 20233.0, August 20227.2.0, June 2023
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3, also commercial editions availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++CGo, Rust
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or datenoyesyes
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
Secondary indexesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applicationsyes
APIs and other access methodsProprietary protocolJDBC
RESTful HTTP API
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC++ 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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonono
Triggersnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyesFine grained access rights according to SQL-standard
More information provided by the system vendor
SphinxTDengineTiDB
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantagesHigh Performance: TDengine is purpose-built for handling massive industrial datasets,...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
TiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Capcom, Shopee (E-commerce), JD Cloud & AI (Cloud...
» more
Market metricsTDengine has garnered over 21,000 stars on GitHub and is used in over 50 countries...
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more
News

TDengine High Availability Cluster
18 September 2023

TDengine 3.1.1.0 Release Notes
4 September 2023

What Is the Industrial IoT?
31 August 2023

Ingesting Data from PI System
15 August 2023

What Is a Data Historian?
10 August 2023

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
SphinxTDengineTiDB
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