There are many Relational Database Management Systems (RDBMS) available in the market, and PostgreSQL and MySQL are among the two most popular ones. Both options offer many advantages and are highly competitive. Therefore, it is essential to understand their differences in order to choose the most appropriate one for each case.
In that sense, this article provides a deep comparison between PostgreSQL and MySQL, considering aspects such as the data types, ACID compliance, indexes, replication, and more. Further, it entails which one to choose and highlights the importance of considering the application's requirements.
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MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. DigitalOcean is quickly building its reputation as the developers cloud by providing an affordable, flexible and easy to use cloud platform for developers to work with. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? In this post, we are going to compare the top two providers, DigitalOcean Managed Databases for MySQL vs. ScaleGrid MySQL hosting on DigitalOcean.
At a glance – TLDR
ScaleGrid Blog - At a glance overview - 1st pointCompare Throughput
ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads. Read now
ScaleGrid Blog - At a glance overview - 2nd pointCompare Latency
On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. Read now
ScaleGrid Blog - At a glance overview - 3rd pointCompare Pricing
ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. Read now
MySQL DigitalOcean Performance Benchmark
In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. We are going to use a common, popular plan size using the below configurations for this performance benchmark:
ScaleGridDigitalOceanInstance TypeMedium: 4 vCPUsMedium: 4 vCPUsMySQL Version188.8.131.52.20RAM8GB8GBSSD140GB115GBDeployment TypeStandaloneStandaloneRegionSF03SF03SupportIncludedBusiness-level support included with account sizes over $500/monthMonthly Price$120$120
As you can see above, ScaleGrid and DigitalOcean offer the same plan configurations across this plan size, apart from SSD where ScaleGrid provides over 20% more storage for the same price.
To ensure the most accurate results in our performance tests, we run the benchmark four times for each comparison to find the average performance across throughput and latency over read-intensive workloads, balanced workloads, and write-intensive workloads.
In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. To quickly summarize the results, we display read-intensive, write-intensive and balanced workload averages below for 150 threads for ScaleGrid vs. DigitalOcean MySQL:
ScaleGrid MySQL vs DigitalOcean Managed Databases - Throughput Performance Graph
For the common 150 thread comparison, ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads.
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PALO ALTO, Calif., October 14, 2020 – ScaleGrid, a leading Database-as-a-Service (DBaaS) provider, has just announced the launch of Google Cloud Platform (GCP) hosting through their fully managed DBaaS plans. In addition to their AWS, Azure and DigitalOcean hosting solutions, ScaleGrid will now offer GCP hosting for MySQL, PostgreSQL and Redis™.
Google Cloud Platform is the second most popular cloud provider for open source database hosting according to the 2019 Open Source Database Report. While GCP offers their own database products, such as Cloud SQL which can be used for MySQL or PostgreSQL, many users prefer to leverage the open source databases to avoid cloud vendor lock-in with a single provider.
ScaleGrid GCP plans are fully managed and hosted through the DBaaS provider through their standard Dedicated Hosting plans, but they also offer a unique Bring Your Own Cloud (BYOC) model that allows you to host your databases through your own cloud account. All of ScaleGrid’s cloud solutions include advanced configuration and control options, including full superuser access, custom replica setups, and the ability to leverage any instance type. These are in addition to their automation tools that allow you to deploy, monitor, backup and scale your deployments through a few simple clicks.
“We are seeing increasing demand from our customer base for managed Postgresql, MySQL & Redis solutions on Google Cloud” says Dharshan Rangegowda, CEO and Founder of ScaleGrid. “ScaleGrid DBaaS platform provides customers several unique advantages and we are delighted to bring these options to the GCP platform.”.
To learn more about how ScaleGrid compares to GCP, check out their MySQL, PostgreSQL and Redis™ vs. GCP’s database products.
#database #google cloud #mysql #postgresql #redis #scalegrid #cloud provider #gcp #google cloud platform #managed database #mysql #postgresql google cloud #scalegrid gcp
PALO ALTO, Calif., June 9, 2020 – ScaleGrid, a leading Database-as-a-Service (DBaaS) provider, has just announced support for their MySQL, PostgreSQL and Redis™ solutions on DigitalOcean. This launch is in addition to their current DigitalOcean offering for MongoDB® database, the only DBaaS to support this database on DigitalOcean.
MySQL and PostgreSQL are the top two open source relational databases in the world, and Redis is the top key-value database. These databases are a natural fit for the developer market that has gravitated towards DigitalOcean since its launch just nine years ago in 2011. The open source model is not only popular with the developer market, but also enterprise companies looking to modernize their infrastructure and reduce spend. DigitalOcean instance costs are also over 28% less expensive than AWS, and over 26% less than Azure, providing significant savings for companies who are struggling in this global climate.
ScaleGrid’s MySQL, PostgreSQL and Redis™ solutions on DigitalOcean are competitively priced starting at just $15/GB, the same as DigitalOcean’s Managed Database solution, but offer on average 30% more storage for the same price. Additionally, ScaleGrid offers several competitive advantages such as full superuser access, custom master-slave configurations, and advanced slow query analysis and monitoring capabilities through their sophisticated platform. To compare more features, check out their ScaleGrid vs. DigitalOcean MySQL, ScaleGrid vs. DigitalOcean PostgreSQL and ScaleGrid vs. DigitalOcean Redis™ pages.
#cloud #database #developer #digital ocean #mysql #postgresql #redis #scalegrid #advanced performance #database infrastructure #dbaas on digitalocean #digitalocean customers #digitalocean instance costs #digitalocean managed databases #high performance ssd #mysql digitalocean #postgresql digitalocean #redis digitalocean #scalegrid digitalocean #scalegrid vs. digitalocean
A little bit ago I compared MySQL to SQLite. It was both something I enjoyed writing and something I found interesting. I wanted to carry forward this and use it as a deeper dive into other Database Management Systems. I decided to learn more about Postgres and thought the comparison would help to clear up areas of confusion if any were to be found. Also, by comparing there seems to be a deeper dive into aspects other than just the syntax.
Let’s start looking at what Postgres is and how it differs from MySQL without any further delay.
#mysql #postgresql #dbms #mysql vs. postgresql
MySQL does not limit the number of slaves that you can connect to the master server in a replication topology. However, as the number of slaves increases, they will have a toll on the master resources because the binary logs will need to be served to different slaves working at different speeds. If the data churn on the master is high, the serving of binary logs alone could saturate the network interface of the master.
A classic solution for this problem is to deploy a binlog server – an intermediate proxy server that sits between the master and its slaves. The binlog server is set up as a slave to the master, and in turn, acts as a master to the original set of slaves. It receives binary log events from the master, does not apply these events, but serves them to all the other slaves. This way, the load on the master is tremendously reduced, and at the same time, the binlog server serves the binlogs more efficiently to slaves since it does not have to do any other database server processing.
Ripple is an open source binlog server developed by Pavel Ivanov. A blog post from Percona, titled MySQL Ripple: The First Impression of a MySQL Binlog Server, gives a very good introduction to deploying and using Ripple. I had an opportunity to explore Ripple in some more detail and wanted to share my observations through this post.
Ripple supports only GTID mode, and not file and position-based replication. If your master is running in non-GTID mode, you will get this error from Ripple:
Failed to read packet: Got error reading packet from server: The replication sender thread cannot start in AUTO_POSITION mode: this server has GTID_MODE = OFF instead of ON.
You can specify Server_id and UUID for the ripple server using the cmd line options: -ripple_server_id and -ripple_server_uuid
Both are optional parameters, and if not specified, Ripple will use the default server_id=112211 and uuid will be auto generated.
While connecting to the master, you can specify the replication user and password using the command line options:
-ripple_master_user and -ripple_master_password
You can use the command line options -ripple_server_ports and -ripple_server_address to specify the connection end points for the Ripple server. Ensure to specify the network accessible hostname or IP address of your Ripple server as the -rippple_server_address. Otherwise, by default, Ripple will bind to localhost and hence you will not be able to connect to it remotely.
You can use the CHANGE MASTER TO command to connect your slaves to replicate from the Ripple server.
To ensure that Ripple can authenticate the password that you use to connect to it, you need to start Ripple by specifying the option -ripple_server_password_hash
For example, if you start the ripple server with the command:
rippled -ripple_datadir=./binlog_server -ripple_master_address= <master ip> -ripple_master_port=3306 -ripple_master_user=repl -ripple_master_password='password' -ripple_server_ports=15000 -ripple_server_address='172.31.23.201' -ripple_server_password_hash='EF8C75CB6E99A0732D2DE207DAEF65D555BDFB8E'
you can use the following CHANGE MASTER TO command to connect from the slave:
CHANGE MASTER TO master_host='172.31.23.201', master_port=15000, master_password=’XpKWeZRNH5#satCI’, master_user=’rep’
Note that the password hash specified for the Ripple server corresponds to the text password used in the CHANGE MASTER TO command. Currently, Ripple does not authenticate based on the usernames and accepts any non-empty username as long as the password matches.
Exploring MySQL Binlog Server - Ripple
It’s possible to monitor and manage the Ripple server using the MySQL protocol from any standard MySQL client. There are a limited set of commands that are supported which you can see directly in the source code on the mysql-ripple GitHub page.
Some of the useful commands are:
SELECT @@global.gtid_executed;– To see the GTID SET of the Ripple server based on its downloaded binary logs.
STOP SLAVE;– To disconnect the Ripple server from the master.
START SLAVE;– To connect the Ripple server to the master.
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