MemSQL has been specifically developed to act as a distributed relational database. It works to bring the functionality of relational database models to the new world of cloud-native data management containers. What is meant by the term “cloud-native”? Well, there are many definitions for the term. The term is basically used to describe any type of solution that takes advantage of automated environments and cloud computing architecture to leverage API-driven auto-scaling, provisioning, and additional operational functions. Cloud-native data management solutions are not limited to cloud-based applications; they can also be deployed in on-premises environments.

When it comes to MemSQL database solutions, you are going to want to take advantage of the cloud features. MemSQL has been utilized by many mainstream public cloud platforms for several years. The unique internal architecture design of MemSQL gives it scalability inherent to cloud applications, as well as compatibilities with SQL for analytics and transactions.

One of the pros of MemSQL is that it has command-line tools which can be easily integrated with popular on-premises deployment tools like Puppet, Chef, and Ansible. It can also link up the cloud deployment mechanisms, including CloudFormation and Azure Resource Management. The automatability of MemSQL solutions are what puts them into the cloud-native software category.

MemSQL Studio can be used to monitor implementation of the cloud-native data management solution over multiple deployment platforms. It can track activity in private cloud, public cloud, and on-premises arenas. It is a great monitoring environment tool for all industries that utilize MemSQL.

The key point to take away is that “cloud-native” is not synonymous with “cloud-only.” The reality is that cloud-native software has more versatility than many other software solutions as it can be used in many different environments as well as in the public cloud. Flexibility and portability are major selling points of MemSQL solutions.

Here are some core MemSQL features and benefits:

  1. Fully Scalable
    In contract to traditional relational databases, MemSQL, like NoSQL databases, is fully scalable. This makes it a great option for those working with a growing and ever-changing data sets.
  2. Container-Friendly
    MemSQL can run effectively in containers – making it ideal for cloud-native data management solutions.
  3. Microservice Support
    The flexibility, efficiency, and scalability of MemSQL make it useful for microservice implementations.
  4. Spark and Kafka Integration
    MemSQL Pipelines are fully integrable with Apache Spark and Apache Kafka.

It does not cost anything to get started with MemSQL, and you can book a demo online. Some of the brand names associated with the cloud-native, operational database include Kellogg’s, UBER, Comcast, SAMSUNG, CISCO, and Sony. The database is used by businesses in many different industries, including financial services, media, public sector, industrial, communications, education, and high tech.

The free version of MemSQL is limited to 4 nodes, but all of the features are fully functional. You can enjoy all of the security, performance, and capability features found in the licensed versions. Pricing for MemSQL subscriptions depends on the number of nodes you require. You can request a quote at the website memsql.com.