RavenDB Team

The RavenDB Team is a collaborative collective of developers, product managers, marketers, and sales specialists behind RavenDB. Combining deep technical engineering with frontline customer insights, this shared profile shares practical database tips, architecture patterns, release updates, and industry analysis directly from the people building and supporting the platform.

Vector Search vs. Full Text Search: What Devs in Finance Need to Know

August 23, 2026

Highlights. Vector search helps teams find meaning, context, and similar concepts across large document sets. Full text search is still essential for financial applications because exact wording matters. Finance teams often need both search methods in the same application. A RAG pipeline works better when…

Four Ways RavenDB Just Made Your Life Easier

July 27, 2026

Highlights Sign in to RavenDB Studio with Google, GitHub, Microsoft Entra ID, or Windows Kerberos.Pull Azure Service Bus messages directly into RavenDB without writing consumer code. Use ETL and AI Task Health views to spot pipeline issues faster and understand where they failed.Most of what makes a database hard to run isn't the database. It's…

No more surprises: Newest RavenDB Update

June 29, 2026

Highlights: RavenDB Cloud’s new Serverless tier auto-scales CPU up and down within a range you define. Range-based pricing helps keep cloud database costs more predictable. Azure Premium SSD v2 support lets you scale IOPS and throughput without buying larger disks. Friday. 4:55 PM. And you’re about to close your laptop (your work…

Why your database architecture is your first line of defense

January 8, 2026

Recent reports about a vulnerability often referred to as MongoBleed have understandably drawn attention across the engineering and security communities. At a high level, the issue allows an unauthenticated remote attacker, under specific conditions, to read portions of the process memory. That memory may include sensitive data such…

Build vs. Buy: The Real Cost of Adding AI Agents to Your Application

October 5, 2025

Highlights Building AI agents in-house is complex, requiring months of development and multiple integrated systems. The real AI agent cost includes not just coding but ongoing maintenance, scaling, and security challenges. Platforms like RavenDB simplify this by handling infrastructure so developers can focus on logic and behavior. Using…

NoSQL Document-Oriented Databases: A Detailed Overview

March 18, 2021

Highlights: NoSQL document databases, such as RavenDB, store data in JSON-like documents, offering a flexible and intuitive way to handle semi-structured data compared to traditional relational databases. Unlike relational databases, NoSQL document databases allow for dynamic, self-describing schemas, enabling developers to modify data…