CockroachDB vs (MySQL, PostgreSQL, MongoDB & Cassandra)

An introduction to CockroachDB

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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CockroachDB vs (MySQL, PostgreSQL, MongoDB & Cassandra)

An introduction to CockroachDB

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

Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

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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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SQL vs NoSQL comparison: MySQL, PostgreSQL, MongoDB & Cassandra

As an entrepreneur or an enterprise IT leader, you are likely thinking about the technology stack to use in your planned project. Your decision-making processes cover databases. Here, you think about SQL vs NoSQL databases. There are popular databases in both categories. Examples are MySQL and PostgreSQL among SQL databases. Among NoSQL databases, MongoDB and Cassandra are well-known. You might be weighing between MySQL vs MongoDB, MySQL vs Cassandra, PostgreSQL vs MongoDB, and PostgreSQL vs Cassandra. Which one should you use and when? Read on, as we compare these popular databases.

#mongodb #sql #nosql #mysql #postgresql #cassandra

MySQL vs. MongoDB: Difference Between SQL & MongoDB

Today, we generate unprecedented volumes of data, precisely over 2.5 quintillion bytes of data every day! With each passing day, this number is only going to increase. However, the data we produce is generally raw and unstructured – it is a compilation of unorganized, random facts that lack coherence and meaning. Thus, it is essential to clean, organize, process, analyze, and contextualize the data to convert into meaningful information. This is where databases and database management systems (DBMS) enter the picture.

There are primarily two types of databases that act as a base for the many different databases we have now. They are SQL and NoSQL. Both of them are opposite binaries. Primarily, SQL served as the foundation for relational databases. Although SQL dominated the database domain for a very long time, the steady upsurge in data over the years created a need for a DBMS that can scale exponentially. This need resulted in the birth of the NoSQL database.

#mongodb #mysql #mysql vs mongodb

An introduction to CockroachDB

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 .

#cockroachdb  #mysql #postgresql #mongodb #cassandra