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As applications scale globally, efficiency and cost control become top priorities. Elastic database tiers let data architects match resources to workload needs, ensuring consistent performance, predictable costs, and simplified operations at any scale.

Rebecca Taft

November 3, 2025

Vector search is the backbone of intelligent AI experiences: semantic search, personalization, recommendations, and retrieval-augmented generation (RAG). But storing and querying high-dimensional embeddings at scale is only part of the challenge.

David Weiss

October 30, 2025

Building agentic applications means you’re deliberately inviting non-determinism into your system. AI agents’ creativity and adaptability is super powerful, but it’s also dangerous if your data layer isn’t rock solid. The more flexible the top of your stack becomes, the stronger the foundation underneath has to be. This principle is what led me to anchor my agentic stack in CockroachDB.

Kiki Carter

October 28, 2025

Data architects are on the lookout for ways to maximize resources, while also keeping costs predictable and manageable. The right database plays a central role in achieving both – delivering better performance, scalability, and resilience without breaking the budget.

Dipti Joshi

October 23, 2025

Cockroach Labs' RoachFest event series spanned the globe big time in 2025. We traveled from London to Bengaluru, then landed stateside for our Grand Finale: RoachFest Las Vegas!

David Weiss

October 21, 2025

Oracle is a premier database provider, delivering solutions that cover most every possible permutation of SQL database configuration you can imagine. While complicated and expensive, Oracle has always delivered on its promises… until now.

David Bressler

October 10, 2025

When we think of critical data, we often think of payments, health records, identities, etc. However, when it comes to the functionality of business-critical applications, metadata is often the unsung hero. This is becoming even more true in the AI era where organizations are using metadata to turn raw data into strategic assets that fuel sustainable and scalable growth. Metadata provides the context behind AI workloads so that developer teams know where it came from, how it’s been used, and whether or not it's trustworthy.

Cassie McAllister

October 8, 2025

The data landscape has fundamentally shifted: Modern applications demand zero-downtime architectures, while regulatory frameworks expect increasingly precise data locality and residency controls. Meanwhile, AI workloads require continuous access to fresh, consistent data that powers applications at scale.

David Weiss

October 7, 2025

The raw performance of a database starts to matter a whole lot less if that database is down: If you’re fast and you’re down, you’re still down. To be clear, raw performance still matters, but traditional benchmarks don’t measure true customer experience when conditions are less than ideal.

Rob Reid

October 6, 2025