🗄️

Databases

Relational · NoSQL · Cache · Search · 9 Technologies

Every database a modern engineer needs — from ACID-compliant relational databases to globally distributed NoSQL, in-memory caches, and search engines.

📋

Relational Databases

ACID-compliant structured data storage

🐘PostgreSQL

Intermediate

Advanced open-source RDBMS — MVCC, JSON, extensions, replication

World's most popular open-source relational database — InnoDB, replication

SQL from basics to advanced — window functions, CTEs, query optimisation

Oracle DB — PL/SQL, performance tuning, RAC, Data Guard, enterprise features

OraclePL/SQLEnterprise

Start

🍃

NoSQL Databases

Flexible, scalable non-relational databases

🍃MongoDB

Intermediate

Document database — schema design, aggregation pipeline, Atlas, indexing

Wide-column distributed database — CQL, consistency levels, partitioning

Wide-columnDistributedCQL

Start

⚡DynamoDB

Intermediate

AWS managed NoSQL — partition keys, GSI, streams, DAX caching

AWSServerlessNoSQL

Start

⚡

In-Memory & Cache

High-performance in-memory data stores

⚡Redis

Intermediate

In-memory store — caching, pub/sub, rate limiting, distributed locks, Cluster

CachePub/SubIn-memory

Start

🔍

Search & Analytics

Full-text search and analytical databases

🔍Elasticsearch

Advanced

Distributed search — mappings, queries, aggregations, ELK integration

SearchFull-textELK

Start