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DBMS > InfluxDB vs. MySQL vs. ReductStore vs. Sadas Engine vs. TerminusDB

System Properties Comparison InfluxDB vs. MySQL vs. ReductStore vs. Sadas Engine vs. TerminusDB

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMySQL  Xexclude from comparisonReductStore  Xexclude from comparisonSadas Engine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used open source RDBMSDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelTime Series DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score1029.49
Rank#2  Overall
#2  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.mysql.comgithub.com/­reductstore
www.reduct.store
www.sadasengine.comterminusdb.com
Technical documentationdocs.influxdata.com/­influxdbdev.mysql.com/­docwww.reduct.store/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationterminusdb.github.io/­terminusdb/­#
DeveloperOracle infosince 2010, originally MySQL AB, then SunReductStore LLCSADAS s.r.l.DataChemist Ltd.
Initial release20131995202320062018
Current release2.7.6, April 20249.0.0, July 20241.9, March 20248.011.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBusiness Source License 1.1commercial infofree trial version availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++, RustC++Prolog, Rust
Server operating systemsLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
AIX
Linux
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyes
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.noyesnono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsyesSQL-like query language (WOQL)
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP APIJDBC
ODBC
Proprietary protocol
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
noneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlsimple rights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standardRole-based access control
More information provided by the system vendor
InfluxDBMySQLReductStoreSadas EngineTerminusDB infoformer name was DataChemist
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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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
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Recent citations in the news

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How TerminusDB is commercializing its open source graph database
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