Move comes as Snowflake and Databricks chase the same all-in-one analytics dream Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and Apache Spark in one place.…

(Continuing my Scooby theme 😊, I am on a roll) Zoinks! I feel like I’ve been chasing this ghost for years, and Microsoft finally pulled off the mask. With SQL Server 2025, we finally have what so many...

I love SQL Server, and I'm excited for the release of 2025. I think the query processing keeps getting better, which means your apps are gonna go faster, with less code changes. The AI stuff is a little fluffy, and I don't think time will be kind to it, but I totally understand why Microsoft felt like they had to chase that buzzword.

Several LLM based articles down the line, I wanted to touch upon an important aspect of Large Language Models that people debate about all…

Why did the entire tech industry chase schemaless databases for a decade, and why are we quietly crawling back to SQL?

Introduction While security researchers chase high-profile vulnerabilities like SQL injection and cross-site scripting, UI misrepresentation bugs quietly undermine the very foundation of trust in web applications. These spoofing vulnerabilities exploit how users perceive interface elements, tricking even experienced professionals into interacting with malicious content disguised as legitimate controls. As demonstrated by recent findings in platforms like GitLab, these overlooked flaws can lead to credential theft, unauthorized actions, and complete account compromise through nothing more than clever text injection.

I was not so sure about becoming one of those AI companies. I didn't want us to jump on a bandwagon and chase a fad. But. The beauty of the AI-powered…

https://postgr.es/p/9tm

In tackling the challenges of large language model (LLM) performance for Text-to-SQL tasks, we introduce CHASE-SQL, a new framework that employs innovative strategies, using test-time compute in multi...

Trellis is hiring founding backend engineers Trellis is building an AI-powered workflow for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase. Why work with us? Be at the forefront of what's possible in AI and Data infrastructure. Build a new data platform from the ground up while collaborating with F500 enterprise clients. You get the chance to be an early team member at a YC/GC -backed startup spun-out from the Stanford AI lab. Join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught graduate-level Big Data systems class at Stanford). You are passionate about building high quality software that have direct impact. Extreme ownership: You enjoy wearing different hats and own new product end-to-end. You work with founders who are engineers, not business majors. Requirements Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Trellis is hiring founding backend engineers Trellis is building a Snowflake for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase. Why work with us? Be at the forefront of what's possible in AI and Data infrastructure. Build a new database from the ground up. You get the chance to be an early team member at a YC-backed startup spun-out from the Stanford AI lab. You get to join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught AI classes to hundreds of Stanford graduate students). You work with founders who are engineers, not business majors. Extreme ownership: you will own products and products will live and die by the decisions you make and the work you do. Requirements Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Trellis is hiring founding backend engineers Trellis is building a Snowflake for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase. Why work with us? Be at the forefront of what's possible in AI and Data infrastructure. Build a new database from the ground up. You get the chance to be an early team member at a YC-backed startup spun-out from the Stanford AI lab. You get to join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught AI classes to hundreds of Stanford graduate students). You work with founders who are engineers, not business majors. Extreme ownership: you will own products and products will live and die by the decisions you make and the work you do. Requirements Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Trellis is hiring founding backend engineers Trellis is building a Snowflake for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase. Why work with us? Be at the forefront of what's possible in AI and Data infrastructure. Build a new database from the ground up. You get the chance to be an early team member at a YC-backed startup spun-out from the Stanford AI lab. You get to join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught AI classes to hundreds of Stanford graduate students). You work with founders who are engineers, not business majors. Extreme ownership: you will own products and products will live and die by the decisions you make and the work you do. Requirements Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Trellis is hiring founding backend engineers Trellis is building a Snowflake for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase. Why work with us? Be at the forefront of what's possible in AI and Data infrastructure. Build a new database from the ground up. You get the chance to be an early team member at a YC-backed startup spun-out from the Stanford AI lab. You get to join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught AI classes to hundreds of Stanford graduate students). You work with founders who are engineers, not business majors. Extreme ownership: you will own products and products will live and die by the decisions you make and the work you do. Requirements Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Trellis is hiring founding backend engineers Trellis is building a Snowflake for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase. Why work with us? Be at the forefront of what's possible in AI and Data infrastructure. Build a new database from the ground up. You get the chance to be an early team member at a YC-backed startup spun-out from the Stanford AI lab. You get to join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught AI classes to hundreds of Stanford graduate students). You work with founders who are engineers, not business majors. Extreme ownership: you will own products and products will live and die by the decisions you make and the work you do. Requirements Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Trellis is hiring founding backend engineers Trellis is building a Snowflake for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase. Why work with us? Be at the forefront of what's possible in AI and Data infrastructure. Build a new database from the ground up. You get the chance to be an early team member at a YC-backed startup spun-out from the Stanford AI lab. You get to join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught AI classes to hundreds of Stanford graduate students). You work with founders who are engineers, not business majors. Extreme ownership: you will own products and products will live and die by the decisions you make and the work you do. Requirements Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.