🔐The choice of database impacts how well your design can scale based on non-functional requirements.
💾Databases optimized for caching include Redis, Memcached, and etcd.
🌐Blob storage options like Amazon S3 are ideal for storing images and videos.
🔎Text search engines like Elasticsearch and Solr are used for searching capabilities.
⌚Time series databases like InfluxDB are designed for sequential updates and bulk reads.
What factors should I consider when choosing a database?
—Consider the data structure, query patterns, and scalability requirements of your system.
What are some popular databases for caching?
—Redis, Memcached, and etcd are commonly used for caching solutions.
Which database is best for text searching?
—Elasticsearch and Solr are popular choices for text searching capabilities.
What is a time series database used for?
—Time series databases like InfluxDB are optimized for storing and analyzing sequential data.
Can I use a non-relational database for structured data?
—Yes, non-relational databases like MongoDB can handle structured data as well.
00:00The choice of database impacts scalability based on non-functional requirements.
01:45Caching solutions like Redis and Memcached improve performance for query patterns and remote calls.
06:44Blob storage options like Amazon S3 are suitable for storing images and videos.
07:43Text search engines like Elasticsearch and Solr enable efficient searching capabilities.
09:13Time series databases like InfluxDB are designed for storing and analyzing sequential data.
