by Angela Guess
Writing for SearchDataManagement, Jack Vaughan recently reported, “Developers from Internet giants and tech startups have created a slew of NoSQL databases designed to evade the schema rigidity of SQL-based relational software. But their progeny have some issues that can complicate efforts to deploy and manage enterprise NoSQL architecture to support business intelligence (BI) initiatives and big data applications. NoSQL technologies still have a ways to go in becoming fully enterprise-friendly, at least based on the comments of some attendees at the 2015 NoSQL Now! Conference in San Jose, Calif. SearchDataManagement asked them about the biggest NoSQL problems and challenges that organizations face in working with the databases.”
Vaughan goes on, “The hurdles they cited include difficulties in querying NoSQL databases for analytical purposes and building reports to distribute BI and analytics findings gleaned from the information stored there. Durability and scalability issues also confront NoSQL systems in some settings. The ability to easily create effective data models is seen as another significant missing link for NoSQL platforms.”
He adds, “In addition, the wide variety of NoSQL databases available in several distinct product categories — MongoDB, Cassandra, Couchbase Server, Neo4j, MarkLogic, Riak, Redis and many more — can make it hard to pick one and move ahead with a deployment. For some NoSQL adepts, the answer is using multiple databases to solve multiple problems, which can turn setting up and supporting NoSQL architecture into a multi-headed challenge. In an industry such as healthcare, that can also encompass meeting compliance rules for protecting data privacy — an issue that may have not crossed the bows of fast-moving Internet companies reaping newfound Web data.”
photo credit: NoSQL Now!