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DBMS > InfluxDB vs. Memgraph vs. Prometheus vs. TDSQL for MySQL

System Properties Comparison InfluxDB vs. Memgraph vs. Prometheus vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMemgraph  Xexclude from comparisonPrometheus  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsAn open source graph database built for real-time streaming and compatible with Neo4jOpen-source Time Series DBMS and monitoring systemA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSGraph DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewmemgraph.comprometheus.iowww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.influxdata.com/­influxdbmemgraph.com/­docsprometheus.io/­docswww.tencentcloud.com/­document/­product/­1042
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdTencent
Initial release2013201720152013
Current release2.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++Go
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinux
Windows
hosted
Data schemeschema-freeschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateNumeric data and StringsyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsHTTP API
JSON over UDP
Bolt protocol
Cypher query language
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infodynamic graph partitioningShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication using RAFTyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesnono
User concepts infoAccess controlsimple rights management via user accountsUsers, roles and permissionsnoUsers with fine-grained authorization concept
More information provided by the system vendor
InfluxDBMemgraphPrometheusTDSQL for MySQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» 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
You can check out our pricing model and licenses on the company website .
» more
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Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS
29 May 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.

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More resources
InfluxDBMemgraphPrometheusTDSQL for MySQL
DB-Engines blog posts

Why Build a Time Series Data Platform?
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