How are transactional, analytical, and AI application requirements different?
Application requirements vary widely — whether it's processing financial transactions, analyzing large volumes of data, or powering AI models. Transactional, analytical, and AI workloads each place distinct demands on database systems, from low latency and consistency to scalability and the need to scan large amounts of complex data. Read on to get a quick introduction on how each of these application types differs in its requirements.Part II (transactional applications), Part III (analytical applications) and Part IV (AI applications) dive into greater detail.
Transactional systems
Databases for transactional systems focus on the efficient processing of transactions in highly concurrent environments. The transactions tend to be short, and their execution must be ACID compliant, which we will explain using a simple three-statement example of moving money between two accounts and updating the activity...
