> Markdown version of [/playlists/databases](https://www.wearedevelopers.com/playlists/databases). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Playlist: Databases 12 videos · 15 moments · 39.3 minutes ## Implementing an Event Sourcing strategy on Azure - **Storing events using globally distributed databases** (06:15, 2min) — Multimodal document databases offer native change feeds for separation of commands and queries. [Learn more](https://www.wearedevelopers.com/videos/688-implementing-an-event-sourcing-strategy-on-azure) ## Kubernetes and Microservices with Multi-Model Databases - **Managing application isolation via pluggable database models** (18:11, 4min) — Reducing storage friction for independent microservices requires pluggable layer abstractions virtualizing discrete databases over one unified admi... - **Evaluating performance characteristics of multi-model databases** (02:38, 1min) — Analyzing operational benchmarks reveals that converged database engines routinely outperform single-function specialized databases across diverse ... [Learn more](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) ## Using WebAssembly for in-database Machine Learning - **Evolution of distributed SQL database management systems** (02:26, 1min) — How modern distributed relational databases enable horizontal scaling for analytical and operational workloads. - **Options for database machine learning integration architectures** (04:19, 2min) — Utilizing tools like Apache Spark, Python libraries, and vector embeddings to perform machine learning near or within databases. [Learn more](https://www.wearedevelopers.com/videos/588-using-webassembly-for-in-database-machine-learning) ## Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases - **Clustered databases versus native distributed databases** (07:51, 3min) — Contrasting tightly-coupled single data center clusters using microsecond networking against independently spaced remote nodes. - **Reducing systemic complexity with universal converged databases** (28:47, 3min) — Managing varied structures like spatial geometries concurrently within a single deployment rather than fracturing operations across specialized too... [Learn more](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## What comes after ChatGPT? Vector Databases - the Simple and powerful future of ML? - **Database evolution and the funding behind vector databases** (05:03, 3min) — Identifying the shift toward vector databases to handle unstructured data that relational and document stores cannot accommodate. [Learn more](https://www.wearedevelopers.com/videos/830-what-comes-after-chatgpt-vector-databases-the-simple-and-powerful-future-of-ml) ## Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases - **Simplifying architectures through converged database platforms** (22:11, 3min) — Consolidating JSON, graphs, and AI vectors into a converged database simplifies complex application development. [Learn more](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Kafka Streams Microservices - **Blending traditional relational databases with event driven streams** (33:25, 1min) — Hooking classic database engines up to log publisher connectors to simplify complex unique entity logic. [Learn more](https://www.wearedevelopers.com/videos/168-kafka-streams-microservices) ## Solve the “But it works on my machine!” problem with cloud-based development environments - **Managing large databases and offline remote workflow limitations** (24:19, 4min) — Handling edge cases like external shared database connections and offline internet constraints ensures smooth remote distributed scaling. [Learn more](https://www.wearedevelopers.com/videos/469-solve-the-but-it-works-on-my-machine-problem-with-cloud-based-development-environments) ## Leveraging Real time data in FSIs - **Final takeaways on database selection and community resources** (40:12, 1min) — Exploring custom database architectures is necessary because there is no universal engine suited for every enterprise data problem. [Learn more](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) ## Database Magic behind 40 Million operations/s - **Consolidating diverse database functionality within one system** (05:45, 1min) — Combining relational queries, document storage, and analytics prevents complex database infrastructure sprawl. [Learn more](https://www.wearedevelopers.com/videos/748-database-magic-behind-40-million-operations-s) ## How building an industry DBMS differs from building a research one - **Building a research database prototype from scratch** (00:03, 2min) — Developing an end-to-end open-source in-memory database enables unobstructed academic experimentation. [Learn more](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) ## Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS) - **Introduction to managed database-as-a-service concepts** (00:03, 0min) — Properly evaluating database-as-a-service offerings requires understanding foundational cloud scaling concepts and core managed architecture compon... [Learn more](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas)