Além do SQL: Bancos de Dados de Grafos, Colunares e o Poder do Firebird

🚀 Discover Terminal Pro and join our community: https://page.terminalpro.com.br/?utm_... In this video, we delve deep into database architectures that solve the bottlenecks where the traditional relational model fails. If you've ever faced performance issues with recursive joins or need to manage billions of messages on a global scale, this content is for you. We explore the elegance of Graph Databases (Neo4j, Memgraph) and how they transform relationships into first-class data through the Property Graph model. We also analyze Distributed Columnar Databases, such as Cassandra and ScyllaDB, designed for massive writes and high availability based on the CAP Theorem. Finally, responding to community requests, we provide a complete technical analysis of Firebird, covering its architectures (SuperServer, Classic, Embedded), the use of MVCC, and why it remains a pillar of stability for mission-critical applications. What you will learn: Why graph impedance can destroy your SQL performance. The difference between row-based and column-based storage (OLTP vs OLAP). How ScyllaDB optimizes modern hardware by eliminating JVM overhead. What's new in Firebird versions 4.0 and 5.0. 00:00 Beyond Traditional SQL: Scalability and Performance Challenges 01:18 Graph Databases and Graph Impedance 02:54 Neo4j and the Cypher Language: Millisecond Traversal 04:13 Comparison: Memgraph, GraphDB, JanusGraph, and Kuzu 07:28 Columnar Databases: Compression and Massive Writes 09:21 Apache Cassandra: Availability and the CAP Theorem 11:12 ScyllaDB: Extreme Performance in C++ 12:07 Firebird: The Phoenix of Open Source and its Architectures 14:42 MVCC and Garbage Collection in Firebird 16:39 Advantages, Disadvantages, and the Future of Firebird 5.0 18:12 Honorable Mentions: DynamoDB, ClickHouse, and DB2 21:40 Conclusion: Engineering vs. Dogma #Database #SoftwareEngineering #FirebirdSQL #Neo4j #CassandraDB #OldSchoolIT