In a world where businesses face ever-changing priorities and growth goals, it’s important to prepare for a situation where your data management system is supporting a heavier workload without limitations on data movement or performance compromises. Planning beyond your immediate goals means choosing strategies that accommodate inevitable changes when it comes to system demand, sources, and destinations.
Historically, it was easy to move data between relational databases because executing tasks only required working in SQL formats. With the rise of NoSQL environments, where it’s important to be able to accept large amounts of data in a fast, reliable way, that’s not always the case. Tasks may require different delivery methods.
As a quick reminder, SQL, or Structured Query Language, is a well-known language for accessing databases and creating commands to manipulate them. NoSQL databases typically store information in a format other than relational tables. Sometimes, they’re referred to as “elastic” because it’s easy to add capacity without impacting the rest of the database.
It’s worth noting that many NoSQL database systems are open source, so vendors can mix and match elements from a variety of NoSQL database types to support different business needs. This, along with inherent scalability, makes NoSQL databases flexible by nature.
At Stelo, we’re focused on complementing your current data management infrastructure by skillfully streaming subsets of data into NoSQL environments where needed. With Stelo, adding NoSQL streaming requires no additional components because we’ve built this capability directly into our offering.
Stelo also supports optimized data streaming management. Based on your business needs, you can schedule batch data streaming to reduce compute resource usage and, consequently, lower costs, or choose continuous streaming to handle larger data volumes at a faster pace. Design for scalability is one of the most effective ways to futureproof data management.
For more information, read our white paper, Understanding NoSQL and What it Means for Data Streaming. Here, we’ll cover: