When to Use NoSQL, Cache or Graph Databases
Compare MongoDB, Cassandra, CouchDB and more, then build live: add Redis caching and a Neo4j relationship query.
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Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1The real problem: everything forced into one database
- 2The tool landscape: MongoDB, Cassandra, CouchDB, Couchbase, Redis, Valkey, Memcached, Neo4j — what each is for and where they overlap
- 3How to choose: team size, integrations, where your data lives, and today's pricing and availability (checked live, not from memory)
- 4Live practical task: Add Redis caching and a Neo4j relationship query
- 5Build the reusable output together: Data store decision map
- 6When you don't need a new tool at all, then live Q&A on your own setup
Who it's for
- • Students and developers who want hands-on practice with real tools
You'd leave with
- Data store decision map
- A shortlist of 2–3 options from MongoDB, Cassandra, CouchDB, Couchbase and others, with the criteria to pick one
- Hands-on practice: add Redis caching and a Neo4j relationship query
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