MySQL vs. Cassandra vs. Hadoop

Hosted Cloud SQL instance in Google Cloud

relational database

Persistent data store.

Backing data store.

MySQL is the primary datastore, this is setup in a Master/Slave configuration, with offsite replicas.

Our choice for data storage.

Banco de dados principal da aplicação

Database

To have a database.

MySQL is our database of choice for storage of relational user data.

High performance RDBMS

Database

We support MySQL databases so that developers can interact with their data.

Common database store for basic admin to advanced databases, high performance, highly maintainable.

Relational content, such as user data, posts, logs and other relevant but not so heavy data. Consumed by web servers.

As the baseline database in which to:

• install Drupal core
• store any data created by the user during a session

Accounts/Payments database

Where the data lives.

Website data storage

I am not using this DB for blog posts or data stored on the site. I am using to track IP addresses and fully qualified domain names of attacker machines that either posted spam on my website, pig flooded me, or had more that a certain number of failed SSH attempts.

The RDS type.

Simple and Fast

One of the RDBMS that can be used for this CRUD module.

A MySQL database stores the instructions and messages sent and received respectively.

For Laravel projects

Most of the data in ZATEMAS is stored in MySQL.

Ordinary database

MySQL is used as Database Server, is default option for Wordpress environment.

MySQL with InnoDB is a good all-purpose storage software.

I initially used MySQL as the database backend for the service. Thanks to JDBC (and some discipline), it was easy to swap in Oracle during deployment.

Store all the blog data

MySQL is where most of our data lies, it's old but it's easier for us from BigData background to use and build on top of. If the data is properly indexed and the servers properly sharded, MySQL is quite performant.

We can pull real potential out of MySQL expressions, sub-selects with our relational models.

Wordpress & Laravel

Server-side data store.

Our Ghost blog relies on MySQL.

Local OS X test server runs on this.

Main Database

mammoths ?:D

Like that first girlfriend you had. It makes us feel alive, in a fun way.

My database of choice. Nothing like it. Except maybe other databases..

Setup web server as service and user/database management for developer team.

Used MySQL as ORM managed database in application development. (Hibernate/Sequalize)

Data warehouse for storing anonymized/de-identified student data for analysis and reporting purposes.

Used lightly. Part of Wordpress stack

We formerly used MySQL instead of MariaDB but shifted exclusively to the latter. MySQL is a part of our Stack anyways, as we still use the MySQL-Syntax/Architecture.

I am using mysql as my relational database engine

expert

mysql 에는 엔진이 있는데 요즘은 다 innodb를 사용 한다. 하지만 오래된 버전의 경우 myisam을 사용하는데.....트랜젝션이 안된다. 트랜젝션이 필요하다면 반드시 innodb를 쓰자 꼭!!

Google Cloud Platform - our Data Library is in Cloud SQL (MySql)

Used as main storage for user settings, account settings, etc. (Our social data itself resides in ElasticSearch.)

MySQL stores permanent data such as user logins.

Easy to use, basic relationship DB without any sharp corners, where examples "just work".

Oracle을 통해 RDB를 학습했지만, MySQL과 mariaDB도 차이를 분석하며 학습하고 있습니다.

Transactional database for the application

Used it at almost every job I've had.

라이센스가 오락가락 하는 MySQL을 대체하기 위해 파생된 DBMS. 기존 MySQL과 거의 완벽하게 명령어/구조가 같아 누구나 쉽게 넘어올 수 있는 오픈소스 소프트웨어.

One of our datasources for Ataccama ONE platform.

Long-lived data is stored in MySQL, period. Everything from users, to scores, to beatmaps, anything.

Prime DB for all our customers website and web apps.

Database

Used to store Relational data for services

Our main database.

widely used

Basic mysql

The existing WordPress database had been built on MySQL, a large portion of the API is built around configuring the endpoints for the data that already exists in this database.

Store orders from the rapid order widget located on the modafinil online page.

DD Configurations

Database

MySQL is the database system we use.

타 팀의 요청에 의해 sql 쿼리를 실행시키지만

보통은 spring의 orm을 사용해 mysql을 실행합니다

We use MySQL (or MariaDB) as our main database.

1.It's very popular. Heared about it in Database class 2. The most comprehensive set of advanced features, management tools and technical support to achieve the highest levels of MySQL scalability, security, reliability, and uptime. 3. MySQL is an open-source relational database management system. Its name is a combination of "My", the name of co-founder Michael Widenius's daughter, and "SQL", the abbreviation for Structured Query Language.

Transaction Database

Best db storage.

Used MySQL for storing statistics.

Very easy to use, design and deploy innoDB servers. Open migration path to Amazon Aurora RDS.

I use MySQL because it's fast and reliable. I use it to store all of the info I get from my users and Roblox.

Our relational database to store all information, users, products, etc.

We use MySQL and variants thereof to store the data for our projects such as the community. MySQL being a well established product means that support is available whenever it is required along with an extensive list of support articles all over the web for diagnosing issues. Variants are also used where needed when, for example, better performance is needed.

I SQL sometimes.

Pretty simple - it's our chosen database system. Widely used, proven and stable.

MySQL is a freely available open source Relational Database Management System (RDBMS) that uses Structured Query Language (SQL). SQL is the most popular language for adding, accessing and managing content in a database. It is most noted for its quick processing, proven reliability, ease and flexibility of use.

MySQL boasts rigorous I/O allowing Hndhld to serve content to thousands of users in the blink of an eye.

Developing programming skills.

Database

For support reason

Main database for the application

database sql

Base de datos master.

We use MySQL as our main database.

We strongly prefer Postgres over mysql. We don't use MySQL.

MySQL is used in Shiro, Kuro and Shirogane.

The data used to run the whole stack is saved as SQL in databases like MySQL.

• Its used to build database for build the OnlineFood Ordering System

  • Its best support normalization and all joins ( Restaurant, customer, food menu, order transaction, delivery).
  • Best for performance.

Stitch is a wrapper around a Cassandra database. It has a web application that provides read-access to the counts through an HTTP API. The counts are written to Cassandra in two distinct ways, and it's possible to use either or both of them:

• Real-time: For real-time updates, Stitch has a processor application that handles a stream of events coming from a broker and increments the appropriate counts in Cassandra.

• Batch: The batch part is a MapReduce job running on Hadoop that reads event logs, calculates the overall totals, and bulk loads this into Cassandra.

Implements the App Engine Datastore API.

Stores massive data, distributed among many different clusters.

Cassandra is our data management workhorse. It handles all our key-value services, supports time-series data storage and retrieval, securely stores all our audit trails, and backs our Datomic database.

Logs storage and aggregation

We are using Cassandra in a few of our apps. One of them is as a count service application to track the number of shares, clicks.. etc

Storage and management of Virtual Services

While we experimented with Cassandra in the past, we are no longer using it. It is, however, open for consideration in future projects.

Hot storage system

Datastax interview

某プロプライエタリなWebアプリを動かすのに必要だった(インストールと構築のみ)

Used Cassandra's CQL for database query.

Big data analytics.

As a part of big data machine learning stack (SMACK)

The massive volume of discovery data that powers Pinterest and enables people to save Pins, create boards and follow other users, is generated through daily Hadoop jobs...

The MapReduce workflow starts to process experiment data nightly when data of the previous day is copied over from Kafka. At this time, all the raw log requests are transformed into meaningful experiment results and in-depth analysis. To populate experiment data for the dashboard, we have around 50 jobs running to do all the calculations and transforms of data.

in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We’re only limited by the amount of machines in an Amazon data center (which is an issue we’ve rarely encountered).

YARN for cluster management

Product recommendations

• Raw storage engine
• Replication
• Fault-tolerance

Our data lake

Datalake and bigdata analytics

TBD. Good to have I think. Analytics on loads of data, recommendations?

Importing/Exporting data, interpreting results. Possible integration with SAS

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