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Databases & Cache

8 tools filed under Databases & Cache, each documented as a set of engineering trade-offs.

Elasticsearch

Elasticsearch is a distributed search and analytics engine built on Apache Lucene, optimized for full-text search and log analytics. It scal...

4 pros · 4 cons

MariaDB

MariaDB is a community-driven fork of MySQL created by its original developers after the Oracle acquisition. It stays largely drop-in compat...

4 pros · 4 cons

MongoDB

MongoDB is a document database storing flexible JSON-like records, designed for horizontal scaling through built-in sharding and replica set...

4 pros · 5 cons

MySQL

MySQL is the world's most widely deployed open-source relational database, prized for speed and simplicity. It anchors the classic LAMP stac...

4 pros · 4 cons

Neo4j

Neo4j is the leading native graph database, storing data as nodes and relationships for traversal-heavy queries. Its Cypher query language e...

4 pros · 4 cons

PostgreSQL

PostgreSQL is a fully open-source relational database known for standards compliance, extensibility, and rock-solid transactional integrity....

5 pros · 4 cons

Redis

Redis is an in-memory data store used as a cache, message broker, and session store, with data structures like sorted sets and streams. Sub-...

4 pros · 4 cons

SQLite

SQLite is a serverless, embedded relational database that stores an entire database in a single file. It is the most deployed database engin...

4 pros · 4 cons

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