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DBMS > InfluxDB vs. MemSQL

System Properties Comparison InfluxDB vs. MemSQL

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMemSQL  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score3.81
Rank#72  Overall
#38  Relational DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.memsql.com
Technical documentationdocs.influxdata.com/­influxdbdocs.memsql.com
DeveloperMemSQL Inc.
Initial release20132013
Current release1.7.8, August 20196.8, August 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsLinux
OS X infothrough Homebrew
Linux info64 bit version required
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query languageyes, but no triggers and foreign keys
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency only within each node
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
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 accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBMemSQL
Specific characteristicsMemSQL is The No Limits Database™, powering modern applications and analytical systems...
» more
Competitive advantagesPerformance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosReal-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersComcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metricsCustomers in various industries worldwide -- US and International Industry Solutions:...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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
InfluxDBMemSQL
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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Recent citations in the news

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

An Introduction to InfluxDB
5 August 2019, The Collegian

InfluxData unveils InfluxDB Cloud 2.0, a serverless time series platform
12 September 2019, Help Net Security

provided by Google News

MemSQL Readies Cloud Database Service and Revved Operational Analytics Engine
30 September 2019, Channel Futures

MemSQL joins cloud database gang
25 September 2019, Blocks and Files

MemSQL Pushes Translytical Database into the Cloud
24 September 2019, RTInsights

MemSQL Ups Ante on Cloud Databases
24 September 2019, Datanami

MemSQL 7.0 set to advance both row and column data stores
8 October 2019, TechTarget

provided by Google News

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