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DBMS > InfluxDB vs. NCache vs. Sphinx vs. TDengine

System Properties Comparison InfluxDB vs. NCache vs. Sphinx vs. TDengine

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonNCache  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsOpen-Source and Enterprise in-memory Key-Value StoreOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelTime Series DBMSKey-value storeSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Search engine infoUsing distributed Lucene
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.alachisoft.com/­ncachesphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.influxdata.com/­influxdbwww.alachisoft.com/­resources/­docssphinxsearch.com/­docsdocs.tdengine.com
DeveloperAlachisoftSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release2013200520012019
Current release2.7.6, April 20245.3.3, April 20243.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoEnterprise Edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#, .NET, .NET Core, JavaC++C
Server operating systemsLinux
OS X infothrough Homebrew
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringspartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counternoyes
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
Secondary indexesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languageSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsHTTP API
JSON over UDP
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
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 proceduresnono infosupport for stored procedures with SQL-Server CLRnono
Triggersnoyes infoNotificationsnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyyesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes, with selectable consistency levelnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yes infoDepending on used storage engineyes
User concepts infoAccess controlsimple rights management via user accountsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)noyes
More information provided by the system vendor
InfluxDBNCacheSphinxTDengine
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
TDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
NCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
High Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
NCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
TDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Bank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Market Leader in .NET Distributed Caching since 2005.
» more
TDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
NCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
TDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
News

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2 September 2024

Time-Series Databases: A Game Changer for the Renewable Energy Industry
30 August 2024

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.

Related products and services

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More resources
InfluxDBNCacheSphinxTDengine
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

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TDengine Cloud released to developers
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