Distributed Database Blogs

Why ScyllaDB’s Shard Per Core Architecture Matters

3 perspectives on what shard-per-core involves and why it matters for teams who care about database performance. Also ...  puppies!

We Compared ScyllaDB and Memcached and… We Lost?

Engineers behind ScyllaDB joined forces with Memcached maintainer dormando for an in-depth look at database and cache internals, and the tradeoffs in each.

How We Implemented ScyllaDB’s “Tablets” Data Distribution

How ScyllaDB implemented its new Raft-based tablets architecture, which enables teams to quickly scale out in response to traffic spikes

Smooth Scaling: Why ScyllaDB Moved to “Tablets” Data Distribution

The rationale behind ScyllaDB's new “tablets” replication architecture, which builds upon a multiyear project to implement and extend the Raft consensus protocol. It enables teams to quickly...

ScyllaDB User Tech Talks: Dor Laor’s Takeaways

A look at how industry-leading teams (Discord, Expedia, ShareChat...) have tackled tough performance challenges with distributed databases.

Inside ScyllaDB’s Internal Cache

Why ScyllaDB completely bypasses the Linux cache during reads, using its own highly efficient row-based cache instead.

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...

Why Disney+ Hotstar Replaced Redis and Elasticsearch with ScyllaDB Cloud

Get the inside perspective on how Disney+ Hotstar simplified its “continue watching” data architecture for scale.

Apache Cassandra 4.0 vs. ScyllaDB 4.4: Comparing Performance

Let’s compare the performance of the latest release of Scylla Open Source 4.4 against Cassandra 4.0 and Cassandra 3.11. We measured the latencies and throughputs at different loads, as well as the...

Steering ZEE5’s High-Stakes Migration to ScyllaDB

Eliminating cloud vendor lockin and supporting rapid growth – with a 5X cost reduction Kishore Krishnamurthy, CTO at ZEE5, recently shared his perspective on Zee’s massive, business-critical...

DynamoDB: When to Move Out?

A look at the top reasons why teams decide to leave DynamoDB: throttling, latency, item size limits, and limited flexibility...not to mention costs.

Alan Shimel and Dor Laor on Database Elasticity, ScyllaDB X Cloud

Alan and Dor chat about elasticity, 90% storage utilization, powering feature stores and other AI use cases, ScyllaDB’s upcoming vector search release, and much more

Blowing Up Your DynamoDB Bill

Why real-world DynamoDB usage scenarios often lead to unexpected expenses

How Yieldmo Cut Database Costs and Cloud Dependencies

Rethinking latency-sensitive DynamoDB apps for multicloud, multiregion deployment

Why DynamoDB Costs Catch Teams Off Guard

From inevitable overprovisioning to the "on-demand" tax: why DynamoDB is bloody hard to cost-control

The Harsh Reality of Building a Real-Time ML Feature Platform

Using ScyllaDB for Medium's Feature Store

Learn how Medium is using ScyllaDB to build a fast and scalable data layer for lists in their feature store.

Real-Time Machine Learning with ScyllaDB as a Feature Store

What ML feature stores require and how ScyllaDB fits in as fast, scalable online feature store.

A New Way to Estimate DynamoDB Costs

We built a new DynamoDB cost analyzer that helps developers understand what their workloads will really cost

Rust Rewrite, Postgres Exit: Blitz Revamps Its “League of Legends” Backend

How Blitz scaled their game coaching app with lower latency and leaner operations