NoSQL Database Trends + Analysis Resources

Everything in its Place: Putting Code and Data Where They Belong

The idea that code runs on computers and data is stored in databases is increasingly only part of the story. See how WebAssembly complicates that.

Wasmtime: Supporting UDFs in ScyllaDB with WebAssembly

WebAssembly, also known as WASM, is a binary format for representing executable code, designed to be easily embeddable into other projects. It turns out that WASM is also a perfect candidate for a...

Keeping Latency Low for User-Defined Functions with WebAssembly

How we integrated WebAssembly into ScyllaDB in a latency-friendly manner while implementing the core runtime for user-defined functions in async Rust

ScyllaDB on the New AWS EC2 I4i Instances: Twice the Throughput & Lower Latency

As you might have heard, AWS recently released a new AWS EC2 instance type perfect for data-intensive storage and IO-heavy workloads like ScyllaDB: the Intel-based I4i. According to the AWS I4i...

New AWS Instances Perfect for ScyllaDB

Why 2 new Amazon AWS EC2 instance types – the Intel-based I4i and the Graviton2-based Is4gen and Im4gn series – are perfect for ScyllaDB.

x86-less ScyllaDB: Exploring an All-ARM Cluster

How ScyllaDB performs on Ampere ARM-powered servers and ScaleFlux fast SSDs, as well as how to get the most out of your storage using ScaleFlux's built-in compression and ScyllaDB's ICS.

How Palo Alto Networks Replaced Kafka with ScyllaDB for Stream Processing

Global cybersecurity leader Palo Alto Networks processes terabytes of network security events each day. They analyze, correlate, and respond to millions of events per second– many different types...

Bryan Cantrill on What’s Next for Infrastructure, Open Source & Rust

A look at a decade's worth of past predictions from Cantrill and fellow infrastructure technologist from Sun Microsystems, and Cantrill’s expectations for the future -- including predictions for...

Building Next Generation Drivers: Optimizing Performance in Go and Rust

Highlights performance increases obtained using techniques available in the respective programming languages, including shaving performance off Google's B-tree implementation with Go generics and Rust

Learning Rust the Hard Way for a Production Kafka + ScyllaDB Pipeline

Numberly recently transitioned a ScyllaDB+ Kafka data pipeline to Rust. Hear about their risks, rewards & lessons learned.

Building a 100% ScyllaDB Shard-Aware Application Using Rust

Numberly's experience designing and operating a distributed, idempotent, and predictable application 100% based on ScyllaDB's low-level shard-aware topology using Rust.

Async Rust in Practice: Performance, Pitfalls, Profiling

Learn how our engineers used flamegraphs to diagnose and resolve performance issues in our Tokio framework based Rust driver.

We’re Porting Our Database Drivers to Async Rust

Rust is a highly performant and safe language. That's why we’re using it as the basis for a new series of CQL drivers.

ScyllaDB Rust Driver: One Driver to Rule Them All

Learning Rust the Hard Way for a Kafka + ScyllaDB Pipeline at Numberly

A leading AdTech company's lessons learned transitioning a business-critical data-intensive application from Python to Rust.

Shaving 40% Off Google’s B-Tree Implementation with Go Generics

Learn how we got a 40% performance gain in an already well optimized package, the Google B-Tree implementation, using Go generics

A New ScyllaDB Go Driver: Faster Than GoCQL and Its Rust Counterpart

How we built a new Go ScyllaDB driver that's almost 4x faster than its GoCQL predecessor and 2X faster than its Rust counterpart.