![]() Main Differences Between Relational and Non-Relational Databases But most enterprise data still only needs an RDBMS. But in a situation where users can enter millions of transactions per second, this becomes a serious problem. SQL Server can handle that with a nice size server. Using SQL Server, if an internal company application needs to handle a few thousand transactions per second it’s no problem. But what happens if I need to store and analyze a few million web pages?”Įnter Hadoop and non-relational databases. “And I need to index a few thousand documents and search them. ![]() If an organization is using SQL Server, said Serra, For an outline of Hadoop, see the DATAVERSITY® article titled Hadoop Overview: A Big Data Toolkit. But, “keep in mind Hadoop is a file system with components made up of Hadoop Distributed File System (HDFS), Yarn, and MapReduce.” So while it is a significant part of the relational and non-relational discussion, it includes many other components as well. Hadoop is also part of this entire discussion, said Serra. There are literally hundreds, if not thousands, more. Some of the most known NoSQL or non-relational DBs that Serra discussed are MongoDB, DocumentDB, Cassandra, Coachbase, HBase, Redis, and Neo4j. NoSQL has become an industry standard term, but the name is beginning to lose popularity since it doesn’t fully cover the complexity and range of non-relational data stores that are available. ![]() Non-relational databases are also called NoSQL databases. RDBMSs have provided for data integrity needs for decades, but the exponential growth of data over the past 10 years or so, along with many new data types have changed the data equation entirely, and so non-relational databases have grown from such a need. ![]() He began by discussing the fact that the integrity of data is very important, so RDBMSs support ACID transactions (Atomicity, Consistency, Isolation, and Durability). James Serra, a Big Data Evangelist at Microsoft, discussed the many differences, advantages and disadvantages, and various use cases of relational and non-relational databases during his Enterprise Data World Conference presentation. ![]()
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