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Integrating OLTP and OLAP systems: Enhanced decision making with CockroachDB, BigQueryML and Vertex AI

This blog explores how to leverage CockroachDB as an OLTP database and BigQuery for OLAP, and then further enhance data capabilities using BigQueryML and Vertex AI for machine learning.

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Harsh Shah

April 9, 2024

read-committed

Why CockroachDB doesn't use EvalPlanQual

Michael Erickson

April 5, 2024

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applications

How Nightfall.ai simplified their architecture for metadata storage

For organizations that want to avoid risk the first step is often to safeguard their most important asset: data. Data loss usually happens by accident (primarily human error and system failures) and not because of malicious intent or bad actors. Maybe an employee neglects to update their software, or an entire cloud region goes down, or there’s an unexpected influx of traffic that the company wasn’t prepared for – we’ve all heard of or have been part of these stories. Recently, data protection has become more complicated because businesses are running many applications in the cloud that employees are accessing on a daily basis. The more applications, the more risk.

Cassie McAllister

Cassie McAllister

April 4, 2024

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Product

Why we need a multi-cloud database, and how to build one

In our State of Multi-Cloud 2024 report, we were a bit surprised to find that half of our respondents said their companies were already multi-cloud, and of those, half had already begun working with complex multi-cloud deployment patterns like deploying a single workload across multiple clouds. What are the benefits of that sort of complex deployment, and how can it actually be achieved in the real world to bring the advantages of multi-cloud to mission-critical workloads like your transactional database workloads?

Mike Bookham

February 12, 2024

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Product

A sports betting app saved millions switching from PostgreSQL to CockroachDB

The challenges facing sports betting platforms are rigorous: they have to be fast and consistent in a way that’s similar to high-frequency trading platforms. At the same time, they have a variety of data-locality requirements to comply with depending on which states or countries they serve. In this blog, we’ll look at a real-world example of a North America-based sports betting platform that designed a gaming and sports betting architecture that not only meets the performance, consistency, and compliance requirements of the industry; but also enabled the business to swiftly enter new regional markets without requiring a massive engineering effort.

 Michelle Gienow

Michelle Gienow

February 9, 2024

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