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InfluxDB
InfluxDB

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InfluxDB vs MariaDB: What are the differences?

Developers describe InfluxDB as "An open-source distributed time series database with no external dependencies". InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.. On the other hand, MariaDB is detailed as "An enhanced, drop-in replacement for MySQL". Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

InfluxDB and MariaDB can be primarily classified as "Databases" tools.

Some of the features offered by InfluxDB are:

  • Time-Centric Functions
  • Scalable Metrics
  • Events

On the other hand, MariaDB provides the following key features:

  • Replication
  • Insert Delayed
  • Events

"Time-series data analysis" is the top reason why over 35 developers like InfluxDB, while over 150 developers mention "Drop-in mysql replacement" as the leading cause for choosing MariaDB.

InfluxDB and MariaDB are both open source tools. InfluxDB with 16.6K GitHub stars and 2.37K forks on GitHub appears to be more popular than MariaDB with 2.79K GitHub stars and 856 GitHub forks.

According to the StackShare community, MariaDB has a broader approval, being mentioned in 496 company stacks & 453 developers stacks; compared to InfluxDB, which is listed in 116 company stacks and 38 developer stacks.

What is InfluxDB?

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

What is MariaDB?

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
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Why do developers choose InfluxDB?
Why do developers choose MariaDB?

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    What are some alternatives to InfluxDB and MariaDB?
    TimescaleDB
    TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.
    Redis
    Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Prometheus
    Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    See all alternatives
    Decisions about InfluxDB and MariaDB
    StackShare Editors
    StackShare Editors
    MariaDB
    MariaDB
    MySQL
    MySQL

    Airbnb’s web experience is powered by a Rails monolith, called Monorail, that talks to several different Java services. MySQL databases store business data and are partitioned by functionality, with messages and calendar management, for example, stored separately from the main booking flow in their own databases.

    As traffic to the site continued growing, though, “one notable resource issue with MySQL databases [was] the increasing number of database connections from application servers.”

    Airbnb uses AWS’s Relational Database Service (RDS) to power their MySQL instances, and “RDS uses the community edition of MySQL server, which employs a one-thread-per-connection model of connection management.” With Airbnb’s scale, this meant that their databases would hit the C10K problem, which states that “there is an upper bound in the number of connections that MySQL server can accept and serve without dramatically increasing the number of threads running, which severely degrades MySQL server performance.”

    When an RDS MySQL server hits resource limits, users will have trouble connecting to the site.

    MySQL does have dynamic thread pooling, but it’s only available in the enterprise edition; AWS MySQL RDS, though, doesn’t offer this feature, meaning Airbnb didn’t have access to dynamic thread pooling out-of-the-box.

    After surveying several options, the team chose MariaDB MaxScale, which is “a MySQL database proxy that supports intelligent query routing in between client applications and a set of backend MySQL servers.”

    Instead of using the MariaDB MaxScale off-the-shelf, however, they decided to fork it and implement their own version that would include connection pooling. Other MaxScale features, like request throttling and query blocklisting were implemented as well.

    To enable horizontal scaling of the web application, the team deployed a MaxScale database proxy service in between app servers and MySQL servers. Through the service discovery system SmartStack, applications now “discover and connect to the database proxy service instead of the MySQL database,” allowing horizontal scaling to meet capacity demands.

    Additionally, new Airbnb MaxScale proxy server instances can be launched to further enable horizontal scaling.

    See more
    Amazon ElastiCache
    Amazon ElastiCache
    Amazon Elasticsearch Service
    Amazon Elasticsearch Service
    AWS Elastic Load Balancing (ELB)
    AWS Elastic Load Balancing (ELB)
    Memcached
    Memcached
    Redis
    Redis
    Python
    Python
    AWS Lambda
    AWS Lambda
    Amazon RDS
    Amazon RDS
    Microsoft SQL Server
    Microsoft SQL Server
    MariaDB
    MariaDB
    Amazon RDS for PostgreSQL
    Amazon RDS for PostgreSQL
    Rails
    Rails
    Ruby
    Ruby
    Heroku
    Heroku
    AWS Elastic Beanstalk
    AWS Elastic Beanstalk

    We initially started out with Heroku as our PaaS provider due to a desire to use it by our original developer for our Ruby on Rails application/website at the time. We were finding response times slow, it was painfully slow, sometimes taking 10 seconds to start loading the main page. Moving up to the next "compute" level was going to be very expensive.

    We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.

    In database world we are currently using Amazon RDS for PostgreSQL also, we have both MariaDB and Microsoft SQL Server both hosted on Amazon RDS. The plan is to migrate to AWS Aurora Serverless for all 3 of those database systems.

    Additional services we use for our public applications: AWS Lambda, Python, Redis, Memcached, AWS Elastic Load Balancing (ELB), Amazon Elasticsearch Service, Amazon ElastiCache

    See more
    Joshua Dean Küpper
    Joshua Dean Küpper
    CEO at Scrayos UG (haftungsbeschränkt) · | 5 upvotes · 39.7K views
    atScrayos UG (haftungsbeschränkt)Scrayos UG (haftungsbeschränkt)
    Sentry
    Sentry
    GitLab
    GitLab
    PostgreSQL
    PostgreSQL
    MariaDB
    MariaDB

    We primarily use MariaDB but use PostgreSQL as a part of GitLab , Sentry and @Nextcloud , which (initially) forced us to use it anyways. While this isn't much of a decision – because we didn't have one (ha ha) – we learned to love the perks and advantages of PostgreSQL anyways. PostgreSQLs extension system makes it even more flexible than a lot of the other SQL-based DBs (that only offer stored procedures) and the additional JOIN options, the enhanced role management and the different authentication options came in really handy, when doing manual maintenance on the databases.

    See more
    Interest over time
    Reviews of InfluxDB and MariaDB
    Review ofMariaDBMariaDB

    MySQL was founded by Allan Larsson, Michael Widenius and David Axmark in the year 1995, 19 years ago. It was released under the name of co-founder Michael Widenius daughter, ‘My‘. This project was released under GNU General Public License as well as under certain Proprietary License. MySQL was owned by MySQL AB firm until it went into the hands of Oracle Corporation. It is written in Programming Language – C and C++ and is available for Windows, Linux, Solaris, MacOS and FreeBSD.

    In the year 2009, Michael Widenius started working on MarisDB as a fork of MySQL. In the year 2012 the bricks of nonprofit MariaDB Foundation was laid. It was named after the founder’s daughter Maria.

    MariaDB is a fork of MySQL Relational Database Management System which again is released under GNU General Public License. It is written in Programming Language – C, C++, Perl and Bash and is available for Systems Linux, Windows, Solaris, MacOS and FreeBSD.

    Review ofInfluxDBInfluxDB

    Influx doesn't currently natively support horizontal distribution. Hard to recommend it until they implement that.

    Avatar of YaronWittenstein
    Computer Science
    Review ofInfluxDBInfluxDB

    InfluxDB is a game changer

    How developers use InfluxDB and MariaDB
    Avatar of ShadowICT
    ShadowICT uses InfluxDBInfluxDB

    We use InfluxDB as a store for our data that gets fed into Grafana. It's ideal for this as it's a lightweight storage engine that can be modified on the fly by scripts without having to log into the server itself and manage tables. The HTTP API also makes it ideal for integrating with frontend services.

    Avatar of Scrayos UG (haftungsbeschränkt)
    Scrayos UG (haftungsbeschränkt) uses MariaDBMariaDB

    Aside from Redis, we use MariaDB to store long-term information like user-data and big-data like regeneration-information for our open-world servers. We extensively use the relational aspects of MariaDB in joins, nested queries and unions.

    Avatar of Seungkwon Park
    Seungkwon Park uses MariaDBMariaDB

    mysql보다 mariaDB가 join면에서 우수하다는 문서를 읽었습니다. 이 부분은 저의 블로그에서도 다뤘고 저의 word press 블로그는 mysql 대신 mariaDB 를 사용합니다.

    특히 limit 기능이 pagenation 처리를 할 때 너무 직관적이고 편해서 mariaDB, mysql을 사랑합니다.

    Avatar of Ana Phi Sancho
    Ana Phi Sancho uses MariaDBMariaDB

    Introduced in computer science course.managing relational database management systems, database analytics, and for data processing

    Avatar of Goyoboard
    Goyoboard uses InfluxDBInfluxDB

    To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable

    Avatar of nrise
    nrise uses MariaDBMariaDB

    수 백만개가 넘는 태그 키워드의 자동완성을 위해서 별도의 데이터베이스를 구축하였습니다. MariaDB 는 MySQL 을 포크한 프로젝트입니다. MySQL 과의 강력한 호환성을 지니며, 큰 튜닝 없이 강력한 성능을 보장합니다.

    Avatar of sapslaj
    sapslaj uses InfluxDBInfluxDB

    InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes.

    Avatar of Dolls Kill
    Dolls Kill uses MariaDBMariaDB

    MariaDB has allowed us to easily scale out our DB cluster. Also has better replication tools than MySQL

    Avatar of Chris Hartwig
    Chris Hartwig uses InfluxDBInfluxDB

    All our metrics go through InfluxDB, both applicative and system

    How much does InfluxDB cost?
    How much does MariaDB cost?
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