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Engineering
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Read on to learn how we combined recent academic research with practical engineering to solve the semantic search problem at massive scale, with fresh, real-time results, by leveraging CockroachDB’s unique distributed architecture.
Andy Kimball
June 23, 2025
vectors
Scale & Resilience
Database Modernization
Product
For my next (engineering) trick: Minimizing TCO with distributed SQL
Today, distributed SQL databases are redefining what’s possible for modern, global businesses. Recently, Peter Mattis, co-founder, CTO, and CPO of Cockroach Labs, and technical evangelist, Rob Reid, hosted a webinar called “The Magic of Distributed SQL: Zero Downtime & Infinite Scale.” Below, we recap the key ideas from the session and how they tie to the future of data infrastructure.
Becca Weng
June 10, 2025
Artificial Intelligence
Database Modernization
Product
Introducing Distributed Vector Indexing to CockroachDB
With the 25.2 release we deliver vector indexing to further enable customers to combine transactional data with vector data into a single data store, all without compromising the underlying fundamental promises of distributed SQL.
David Bressler
June 4, 2025
Engineering
Product
Artificial Intelligence
CockroachDB 25.2: Celebrating a decade of innovation with enhanced performance, vector indexing, and more
A few months ago Cockroach Labs turned 10, and this release celebrates 10 years of continuous distributed SQL innovation. We’re introducing even more performance and scalability improvements and AI vector indexing, along with many other new features and enhancements to both self-hosted and cloud offerings in the areas of change data capture (CDC), security, observability, and migrations.
David Bressler
June 3, 2025
Database Modernization
Scale & Resilience
Product
Surviving Failures: Disaster Recovery with CockroachDB
So you were worried about a failure, and it happened. Despite all of the planning, something went wrong, and now the goal is to minimize the impact of that failure. As part of our blog series, “Surviving Failures with CockroachDB,” this blog will cover what your options are when things inevitably fail.
Alicia Lu
April 9, 2025
Database Modernization
Product
Engineering
MOLT Verify: Ensuring Data Integrity in Database Migrations
Database migrations are complex, and ensuring the migrated data is 100% correct is critical. After all, a migration isn’t over until you feel confident and comfortable cutting over to the new infrastructure. To streamline migrations, Cockroach Labs created the MOLT (Migrate Off Legacy Technology) suite, which includes three tools that improve different parts of the user journey.
Jeremy Yang
April 2, 2025
Database Modernization
Product
Engineering
Accelerate Data Migrations with MOLT Schema Conversion Tool
Database migration is a critical yet often daunting task for many enterprises that operate on legacy systems like Oracle, MySQL, or SQL Server. As these organizations strive to modernize their infrastructure and scale operations, transitioning to a distributed SQL database like CockroachDB presents a compelling opportunity – offering the consistency and familiar SQL structure of traditional databases while delivering the scalability, resilience, and performance first pioneered in NoSQL databases.
Rohan Joshi
March 19, 2025
Product
Scale & Resilience
CockroachDB 25.1: Enhanced resilience and performance
Performance improvements are critical, not only for the scope and scale of applications, but also because increasing performance drives down the cost of ownership – and that’s where Cockroach Labs has focused on in this new release.
David Bressler
February 18, 2025
Company
Product
CockroachDB Turns Ten: Scaling the Future of Relational Databases
From Day One, our goal has been to bring together the benefits of both SQL and NoSQL, using a cloud-native, distributed architecture. But what we have accomplished for our customers over the past 10 years is only the beginning.
Spencer Kimball
February 18, 2025
Product
Why Fortune 50 banks are leaving traditional RDBMS for CockroachDB
In the world of finance, changing databases is usually pretty rare. When you’re in charge of other people’s money — several trillion dollars of it, in the case of one of the banks discussed in this article — even small changes could represent major risks. That’s why even today, many banks still run systems based on legacy relational databases such as Oracle, IBM, and PostgreSQL — often the same databases they were using 10 or even 20 years ago.
Cassie McAllister
January 16, 2025