NoSQL, SQL, NewSQL — HarperDB has it all View original post here. Are you looking for the right database for your product? Are you confused if you should pick SQL or NoSQL? What if there is a product that has the best of both worlds? What’s that product you ask? — It’s HarperDB. Why was I … Continued
Organizations in the industrial space deal with similar challenges when it comes to data, and those challenges become more prominent the longer they go unanswered. Industry 4.0 is moving forward at full speed, meaning that traditional manufacturing and industrial processes continue to be automated with modern technology — which is super exciting! This is done … Continued
There are certain industries that greatly benefit from high-performing, low-latency, geo-distributed technologies, while other organizations might be more focused on vertically scaling architectures. This is dependent on numerous factors including the data pipeline, network, data structure, type of product or solution, short and long term goals, etc. While there are currently many databases and tools … Continued
Since we’re hosting a livestream next week on building a serverless Next.js app with HarperDB and Vercel, I thought it might make sense to do a debrief on “serverless.” We’re starting to see the word more and more, but do we really know what it means or why it’s growing in popularity? Let’s look into this. … Continued
Do you ever have those moments where you know you’re thinking faster than the app you’re using? You click something and have time to think “what’s taking so long?” It’s frustrating to say the least, but it’s an all-too-common problem in modern applications. A driving factor of this delay is latency, caused by offloading processing … Continued
Happy 2021! This week’s term is a mouthful, but don’t let the long name deter you. It’s a pretty interesting topic and I think you will agree after finishing this breakdown. There is a lot to say about how awesome it is to combine the flexibility of a data lake with the power of a … Continued
The debate over whether to use a schema or not has passionate support on both sides. One side appreciates data integrity constraints and predictability, while the other prefers more flexibility (or “agility”) and time effectiveness. The ultimate answer as to which is “better” most likely depends on the specific project, data used, and associated skill … Continued