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DBMS > InfluxDB vs. Linter vs. Memgraph vs. Yanza

System Properties Comparison InfluxDB vs. Linter vs. Memgraph vs. Yanza

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLinter  Xexclude from comparisonMemgraph  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDBMS for storing time series, events and metricsRDBMS for high security requirementsAn open source graph database built for real-time streaming and compatible with Neo4jTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewlinter.rumemgraph.comyanza.com
Technical documentationdocs.influxdata.com/­influxdbmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
Developerrelex.ruMemgraph LtdYanza
Initial release2013199020172015
Current release2.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C and C++
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxWindows
Data schemeschema-freeyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesno
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query languageyesnono
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Bolt protocol
Cypher query language
HTTP API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneSharding infodynamic graph partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
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-standardUsers, roles and permissionsno
More information provided by the system vendor
InfluxDBLinterMemgraphYanza
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
News

A Detailed Guide to C# TimeSpan
2 May 2024

The Final Frontier: Using InfluxDB on the International Space Station
30 April 2024

Getting the Current Time in C#: A Guide
26 April 2024

Sync Data from InfluxDB v2 to v3 With the Quix Template
8 April 2024

Infrastructure Monitoring Basics: Getting Started with Telegraf, InfluxDB, and Grafana
5 April 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
InfluxDBLinterMemgraphYanza
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

show all

Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, businesswire.com

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

Time-series database startup InfluxData debuts self-managed version of InfluxDB
6 September 2023, SiliconANGLE News

provided by Google News

СУБД «Линтер Бастион» прошла сертификацию ФСТЭК России по новым требованиям к системам управления ...
11 March 2024, ServerNews

provided by Google News

Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ...
7 August 2023, PR Newswire

Modeling and Navigating a Transportation Network with Memgraph
12 April 2021, Towards Data Science

Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D
20 October 2021, The Recursive

London-based Memgraph raises over €8 million in seed funding to provide Streaming Graph Algorithms to the masses
5 October 2021, EU-Startups

provided by Google News



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