This talk is part of the ¡Databases! – A Database Seminar Series. Zoom Link: https://cmu.zoom.us/j/94466872009 (Passcode 424050) Read More

Why settle for 1 cool db talk when you can get 3? Snowflake is pushing the boundaries of what a unified cloud data platform can do. Today we'll talk about how Snowflake can be combined with open standards like Apache Iceberg, hard tech to stream data into Snowflake and bring transactional and analytical workloads together in a single platform. Apache... Read More

The increases in main-memory sizes over the last decade have made pure in-memory database systems feasible, and in-memory systems offer unprecedented performance. However, DRAM is still relatively expensive, and the growth of main-memory sizes has slowed down. In contrast, the prices for SSDs have fallen substantially in the last years, and their read bandwidth has increased to gigabytes per second.... Read More

PostgreSQL traditionally has handled IO in a fairly minimal way, relying on the operating system more than most other databases. This talk will discuss why PostgreSQL mostly got away with that so far, why current hardware trends (NVMe with very high bandwidth / low latency, cloud storage with high latency but​ good random / concurrent read behaviour) require changing course... Read More

RonDB is a key-value store with SQL capabilities and LATS (Latency/Availability/Throughput/ScalableStorage) properties. It is based on MySQL NDB Cluster that is used in extremely available applications such as universal data storage for mobile operators for many billions of subscribers. It is also used in gaming applications, financial applications and other areas. The main focus of RonDB in Hopsworks is as... Read More

Data keeps getting bigger, processing keeps getting more and more complex but the hardware does not get faster. We need to reconsider efficiency from the ground up. While these data processing systems handle various workloads (e.g. “batch”, “analytical”, “streaming”, “AI/ML”), they employ common features such as functions, joins, filter-pushdown, sorting, grouping, projections, etc… A shared library that provides optimized implementations... Read More

In this talk, we will discuss major technical challenges developers face when dealing with time series data and QuestDB's design principles that are meant to solve these challenges. We will then go through QuestDB's performance focused architecture and cover topics like storage model, transactions, in-order and out-of-order ingestion, concurrency control, and network interfaces. This talk is part of the Vaccination... Read More

Yellowbrick is an elastic SQL data warehouse with a design centered on efficiency, high concurrency and performance. The database management system is composed from a set of Kubernetes-orchestrated containers. Kubernetes provides the single-source-of-truth for system configuration and state, and manages all warehousing lifecycle operations. In this session, I'll provide an overview of Yellowbrick and its microservices architecture, and focus on... Read More

RelationalAI is the next-generation database platform for new intelligent data applications based on relational knowledge graphs. The Relational Knowledge Graph Management System (KGMS) complements the modern data stack by allowing data applications to be implemented relationally and declaratively, leveraging knowledge/semantics for reasoning, graph analytics, relational machine learning, and mathematical optimization workloads. RelationalAI as a relational and cloud native system fits... Read More

Today's largest data processing workloads are hosted in cloud data centers. Due to exponential data growth and the end of Moore's Law, these workloads have ballooned to the hyperscale level, encompassing billions to trillions of data items per query spread across hundreds to thousands of servers connected by the data center network. These massive scales fundamentally challenge the designs of... Read More