Feature image Transactional NoSQL v3

Transactional NoSQL:
The Best of Both Worlds?

By Laurent Mauer · October 11, 2022 · 5 min read

NoSQL databases are increasingly popular, as they offer many benefits over traditional relational databases.

However, some NoSQL databases lack important features, such as transactions and acidity.

Transactional NoSQL databases combine the best of both worlds, offering the scalability and flexibility of NoSQL with the ACID guarantees of a relational database.

Let’s dive into the meaning, pros & cons of transactional NoSQL databases.

Benefits of Transactional NoSQL

Transactional NoSQL databases offer many of the same benefits as traditional NoSQL databases.

They are highly scalable, meaning they can handle large amounts of data and traffic. They are also flexible, as they do not require a predefined schema.

This allows for quick and easy development, as well as the ability to easily make changes to the data model.

In addition, transactional NoSQL databases provide important guarantees that are often lacking in traditional NoSQL databases.

These guarantees, known as ACID (atomicity, consistency, isolation, and durability), ensure that transactions are processed correctly and completely, even in the event of a failure. This makes transactional NoSQL databases ideal for mission-critical applications.

Transactional NoSQL databases are also highly available, meaning they can continue to process transactions even in the event of a partial failure.

This is in contrast to traditional NoSQL databases, which often cannot process transactions during a failure. This high availability makes transactional NoSQL databases ideal for applications that cannot tolerate any downtime.

Finally, transactional NoSQL databases are often easier to manage than traditional NoSQL databases. 

This is because they often have built-in tools for monitoring and managing the database.

This can make it easier to keep the database running smoothly and avoid problems that can occur with traditional NoSQL databases.

Drawbacks of Transactional NoSQL

While transactional NoSQL databases offer many advantages, there are some drawbacks to consider as well.

  • Because transactions introduce additional complexity, they can impact performance.
  • Not all NoSQL databases support transactions, so you may need to choose a different database if you require this feature.
  • Because transactions are relatively new, there is less tooling and support available for them compared to traditional relational databases.

That said, the benefits of transactional NoSQL databases often outweigh the drawbacks, particularly for applications that require high performance, scalability, and flexibility.

Best Transactional NoSQL Databases

There are many excellent transactional NoSQL databases available today. Some of the most popular include Apache Cassandra, MongoDB, and Apache HBase.

Each of these databases has its own strengths and weaknesses, so be sure to choose the one that best meets your needs.

Some factors to consider when choosing a transactional NoSQL database include:

  • The size and scale of your data
  • The level of performance you need
  • The features and functionality that are most important to you.

How to Choose the Right Transactional NoSQL Database

When choosing a transactional NoSQL database, there are a few important factors to consider.

First, think about your specific requirements with these questions: 

  • Do you need a highly scalable database?
  • Do you need support for ACID transactions?
  • What kind of data model do you need?

Answering these questions will help you narrow down your options.

Next, take a look at the available options and compare their features.

Pay close attention to the performance, scalability, and availability of each database

Also, be sure to read reviews from other users to get an idea of how easy each database is to use and administer.

Finally, make sure to choose a database that is well supported.

Transactional NoSQL databases are still relatively new, so it’s important to choose one that has good documentation and a large community of users. This will ensure that you have access to the resources you need if you encounter any problems.

When making your final decision, it’s important to weigh all of the factors carefully. Choosing the right transactional NoSQL database can be a complex task, but it’s worth taking the time to find the right one for your needs.

Conclusion

At RestApp, we’re building a Data Activation Platform for modern data teams. We designed our next-gen data modeling editor to be intuitive and easy-to-use.

If you’re interested in starting with connecting all your favorite tools, check out the RestApp website or try it for free with a sample dataset.

Discover the next-gen end-to-end data pipeline platform with our built-in No Code SQL, Python and NoSQL functions. Data modeling has never been easier and safer thanks to the No Code revolution, so you can simply create your data pipelines with drag-and-drop functions and stop wasting your time by coding what can now be done in minutes! 

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Laurent Mauer
Laurent Mauer
Laurent is the head of engineer at RestApp. He is a multi-disciplinary engineer with experience across many industries, technologies and responsibilities. Laurent is at the heart of our data platform.

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