Data-Stores

Databases beyond SQL and NoSQL choosing the right store Today, many apps rely on SQL or a classic NoSQL choice. In reality, data workloads are diverse, and the best store is the one that fits how you create, read, and evolve data. The goal is not to chase a trend, but to match storage to use cases, access patterns, and growth plans. Think about your data shape and access. If you traverse many relationships, a graph database can simplify queries that would need heavy joins in SQL. If you collect streams of events, a time series store may index and compress data for fast reads. If you store semi structured documents, a document store can offer flexible schemas. For simple, ultra-fast reads and writes, key-value stores are hard to beat. For heavy analytics, columnar storage shines on aggregates. ...

Cloud-Native Data Stores: Choosing the Right Store in the Cloud When you build apps in the cloud, the data store you choose shapes performance, cost, and resilience. Cloud-native stores come as managed services that scale with demand and reduce maintenance. The right choice depends on your data model, how you read and write data, and how you want to manage costs and security. A clear plan helps you avoid over‑provisioning or vendor lock-in. ...