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.

How JioCinema Uses ScyllaDB Bloom Filters for Personalization

Why they used ScyllaDB Bloom Filters instead of building their own using common solutions like Redis Bloom filters

Tracking Millions of Heartbeats on ZEE’s Streaming Platform

How strategic database migration + data (re)modeling improved latencies and cut database costs 5X

Real-Time Write Heavy Workloads: Considerations & Tips

Write-heavy database workloads bring a distinctly different set of challenges than read-heavy ones. For example: Scaling writes can be costly, especially if you pay per operation and writes are 5X...

Inside Tripadvisor’s Real-Time Personalization with ScyllaDB + AWS

See the engineering behind real-time personalization at Tripadvisor’s massive (and rapidly growing) scale

How To Analyze ScyllaDB Cluster Capacity

Monitoring tips that can help reduce cluster size 2-5X without compromising latency

Tiket.com's Move from Potgres to ScyllaDB: Lightning Speed and Monstrous Scalability

Inside Expedia’s Migration to ScyllaDB for Change Data Capture

How Expedia’s database engineer team is overcoming Cassandra's limitations by migrating to ScyllaDB.

A Tale from Database Performance at Scale

Follow Joan’s highly fictionalized adventures with some all-too-real database performance challenges. You’ll laugh. You’ll cry. You’ll wonder how we worked this “cheesy story” into a deeply...

Database Internals: Working with IO

Explore the tradeoffs of different Linux I/O methods and learn how databases can take advantage of a modern SSD's unique characteristics