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PlanetScale ranks 188th in Deloitte’s top 500 fastest-growing companies

Every year, Deloitte ranks the fastest-growing companies in North America in technology, media, life sciences, fintech, telecommunications, and energy tech. The awardees are chosen based on the percentage of fiscal year growth they’ve experienced. The Deloitte Technology Fast 500™ is now in its 29th year, and PlanetScale is thrilled and honored to share that we’ve placed 188th out of 500. This isn’t the first time PlanetScale has been recognized for its growth trajectory. Our workplace culture a

Favorite teams and projects to appear in your dashboard

We recently introduced an improved  on Vercel, including the option to favorite projects.project and team switcher Now, favorited projects will also appear in your dashboard overview, and you can easily add and remove them from the context menu. Read more

Announcing Vitess 18

MySQL compatibility improvements Vitess 18 is now generally available, with a number of new enhancements designed to improve usability, performance, and MySQL compatibility. Foreign key constraints In the past, foreign key constraints had to be managed outside Vitess. This was a significant blocker for adoption. We are now able to support Vitess-managed foreign key constraints within the same shard. This includes the ability to import data into Vitess from an existing MySQL database with foreign

Why public sector needs AI-powered observability: Cost savings, ROI, and analyst efficiency

Elastic Observability helps public sector customers solve problems like IT modernization, data silos, and data inaccessibility. Customers gain significant value from Elastic Observability, including increased ROI, analyst efficiency and cost savings.

Make your llama generation time fly with AWS Inferentia2

Introducing Prodigy-HF: a direct integration with Hugging Face

Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama 2, and Mistral for Disaster Tweets Analysis with Lora

Elastic Stack 8.11: Introducing a new powerful query language, ES|QL

Elastic Stack 8.11 introduces an advanced query language known as ES|QL in the Discover application, making data exploration more straightforward and user friendly. The Elastic Learned Sparse EncodeR (ELSER) is now generally available.