1633158987
Every data analyst, data science enthusiast would have at least worked on any of these querying language namely SQLLite , MySQL or PostgreSQL
Recently I talked about Database Management Systems in my previous story, in this story I would be going through one of the major confusion which newbies have regarding various flavours of SQL.
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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:
Comparison Overview
ScaleGridDigitalOceanInstance TypeMedium: 4 vCPUsMedium: 4 vCPUsMySQL Version8.0.208.0.20RAM8GB8GBSSD140GB115GBDeployment 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.
Throughput
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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1633158987
Every data analyst, data science enthusiast would have at least worked on any of these querying language namely SQLLite , MySQL or PostgreSQL
Recently I talked about Database Management Systems in my previous story, in this story I would be going through one of the major confusion which newbies have regarding various flavours of SQL.
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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
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If you are an entrepreneur or an enterprise IT leader, then you need to plan the technology stack for your software development project. You need to choose the right database for your project. If you are developing a heavy-duty transaction processing system or a high-demand analytics system, you will likely use an RDBMS (Relational Database Management System). You can choose one from several popular RDBMSs.
However, do you want an assurance that your data in an RDBMS will survive even large-scale failures in application systems and servers? This narrows the choice. This is where CockroachDB becomes important. This relatively new RDBMS offers a high degree of survivability to your data. In this article, we review CockroachDB and its features. We assess its pros and cons. Subsequently, we review its use cases. Finally, we compare CockroachDB with some of the popular databases. Read on.
#cockroachdb vs cassandra #cockroachdb vs mongodb #cockroachdb vs mysql #cockroachdb vs postgres #mysql
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In this article, we first introduce MySQL, PostgreSQL, and SQLite. We explain their pros and cons. We compare them and indicate when one should use them. Additionally, we talk about the differences between self-hosted vs cloud databases. Finally, we provide brief overviews of a few popular licensed and cloud-based RDBMS solutions. Read on.
#sqlite #postgresql #mysql