The Database Evolution and Approaches to Data Management

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The Database Evolution and Approaches to Data Management

An introduction to DZone's 2020 Trend Report, The Database Evolution: SQL or NoSQL in the Age of Big Data

· Database Zone ·
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Data is crucial to any business. How to store, analyze, and derive value from data has long been a problem that businesses are trying to solve. To combat this, many solutions were tailor-made to the nature of the business applications and data storage — until standards were developed. SQL and relational databases evolved out of these tailor-made solutions to provide a standards-based technique to structure data and solve business needs.

The amount of data being collected has grown exponentially as technology continues to evolve, thus exceeding the capabilities of relational databases.

As a result, new solutions came to the market around NoSQL, a more flexible approach to unstructured data that’s capable of handling significantly larger data volumes.

The advent of these NoSQL databases and their applications in the realm of big data solutions ignited a holy war in the data space between traditionalists who supported the relational databases and NoSQL purists who cast scorn down on the “antiquated” technology. To not be left behind in these emerging markets, relational database vendors evolved and incorporated big data capabilities into their offerings with integrations such as HDFS, Apache Spark, and others.

In our research, we explore how businesses are using, or plan to use, both SQL and NoSQL solutions to solve their problems. We also take a look at the types of problems these technologies are being used to solve. Alireza Chegini discusses how to choose between a SQL or a NoSQL solution. If the business problems have a dynamic data structure or require flexibility around new features, then NoSQL may be the better choice. However, if business problems require ACID compliance, have a fixed schema, or require integration into SQL-based visualization and reporting tools, then a SQL solution might be the best choice.

Read the Trend Report 

Later on, Frank Eaves takes a look at graph databases and provides insight into their application with machine learning, introducing basic graph algorithms and real-world use cases so that you can put the context back into your data. And lastly, Viraj Phanse explores hybrid approaches to the use of SQL and NoSQL. Business problems are often too complex to fit into a single SQL or NoSQL approach and more value can be derived from data when using a hybrid application.

The problems that NoSQL databases are designed to solve are different from the problems that SQL and relational databases were designed to solve. Business needs will dictate the need to continue using SQL, in addition to adding NoSQL capabilities that solve big data problems in a hybrid approach. Effectively incorporating both technologies into business infrastructure will be critical as the data landscape continues to evolve.

Dive into data management trends and where businesses are evolving their big data initiatives around modern databases such as SQL and NoSQL in our 2020 Database Evolution Trend Report!

big data management, databases, graph database, nosql, sql, trends

Opinions expressed by DZone contributors are their own.

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