Fluree is an immutable RDF graph database that, beyond performing typical modern database functions, emphasizes security, trust, provenance, privacy, and interoperability. Fluree is open source under the AGPL license and is built on Clojure and open W3C standards. Fluree natively supports JSON and JSON-LD and can leverage/enforce any RDF ontology. The Fluree system consists of a cryptographically-secure ledger to handle... Read More

Vertica is an OLAP database, originally designed when a "beefy" server had 16GB of memory and 8 CPUs, and a 5TB data warehouse was considered to be HUGE. A lot has changed since then. Though CPUs have gotten only a bit faster there are more cores on a die. Applications are commonly run in virtualized environments these days. Data volumes... Read More

Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. Learn how we combine state-of-the-art vector indexing with infrastructure orchestration to provide high-performance vector search at any scale. This talk is part of the Vaccination Database (Second Dose) Tech Talk Seminar Series. Zoom Link: https://cmu.zoom.us/j/95002789605 (Passcode 982149) Read More

A growing fraction of applications today, from basic business processing to machine learning, are data-intensive: they need to correctly process and produce massive datasets that are too large for any human to inspect. These applications pose many systems challenges, from programming interfaces, to monitoring and debugging (how can a human make sure these applications are working well?), to performance. I’ll... Read More

Starburst unlocks the value of data by making it fast and easy to analyze anywhere. Starburst queries data across any database, making it instantly actionable for organizations. With Starburst, teams can lower the total cost of their infrastructure and analytics investments, use the tools that work best for their business, and our open source Trino roots prevent data lock-in. Trusted... Read More

In 2013, eight years ago, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift, the first fully managed, petabyte-scale cloud data warehouse solution. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. This launch was a significant leap from the traditional on-premise data warehousing solutions which were... Read More

Modern organizations leverage machine learning, data science, and AI to build predictive, responsive, and personalized applications. BUT! Most are bad at counting things. That's where dbt comes in. dbt is an open source framework used to define, test, and document datasets. In this talk, we will discuss the what, why, and how behind dbt and data warehousing in the year... Read More

Python is the language of choice for machine learning (ML) and AI, but SQL has been used for data processing for decades. Many data applications are often a mix of the two languages, which makes development and deployment cumbersome for data teams. BodoSQL addresses the "two-language" problem by compiling Python and SQL code together, providing type checking, error checking, end-to-end... Read More

TileDB makes data management universal by modeling all types of data (tables, images, video, genomics, LiDAR and many more) as multi-dimensional arrays. TileDB enables storage on any backend and offers extreme interoperability via numerous language APIs, SQL databases and data science tools. It also takes data sharing, monetization and computation to extreme scale via its powerful serverless architecture. In this... Read More

Napa powers Google’s data warehouse needs for critical clients like Ads and payments. These clients have differing requirements around cost, performance, and data freshness, including a strong expectation of variance-free, robust query performance. At its core, Napa’s principal technologies for robust query performance include the aggressive use of materialized views, which are maintained consistently as new data is ingested across... Read More