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SQL vs NoSQL Archives - VoltDB
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VoltDB / SQL vs NoSQL

SQL vs NoSQL

What to consider when building out architectures: SQL vs NoSQL

SQL is a standard language used by developers, DBAs, and business analysts to query data sets. Traditional SQL databases offer rich transaction capabilities, ad-hoc query and reporting capability, and vast amounts of standards-based tooling. Where they fall short is in the ability to scale out to meet the needs of modern, high-performance applications.

NoSQL was a solution to issues of scale that emerged as organizations began dealing with immense volumes, velocity, and variety of big data from a multitude of sources. NoSQL solutions offered availability, flexibility and scale. However, they came with difficult tradeoffs - sacrifice of data consistency and transactional (ACID) guarantees, loss of ad-hoc query capability and increased application complexity. Trading off data consistency and ACID in many cases means application developers, who are not distributed data infrastructure experts, have had to try and fill the gap.Now that you’ve got an overview of SQL vs NoSQL, who do you need to help you build and maintain your database systems? Relational and non-relational database management systems can get extremely complicated, and definitely require upkeep—especially when you factor in moving to the cloud. While it’s easy to manage a basic single-file database in a program you’ll want to hire a capable database architect to handle your relational database management system (RDBMS) or NoSQL database management.

A recent blog post described SQLCoverage, a VoltDB-developed Python tool that tests VoltDB by running millions of queries using randomized data and comparing the results with the those of identical queries run against HSQLDB, an open-source relational database. This blog post continues that discussion by...

A previous blog post by Ruth Morgenstein, VoltDB Director of QA, gave an overview of how we test at VoltDB. Read that for brief descriptions of our robust processes and culture of quality, including Agile development, continuous integration using Jenkins, Java and C++ unit tests, system integration tests, performance tests, and related topics.