Let’s look back at the top 10 ScyllaDB blog posts published in 2025, as well as 10 “classics” that are still resonating with readers.
But first: thank you to all the community members who contributed to our blogs in various ways…from users sharing best practices at Monster SCALE Summit and P99 CONF, to engineers explaining how they raised the bar for database performance, to anyone who has initiated or contributed to the discussion on HackerNews, Reddit, and the like. And if you have suggestions for additional blog topics, please share them with us on our socials.
With no further ado, here are the most-read blog posts that we published in 2025…
Inside ScyllaDB Rust Driver 1.0: A Fully Async Shard-Aware CQL Driver Using Tokio
By Wojciech Przytuła
The engineering challenges and design decisions that led to the 1.0 release of ScyllaDB Rust Driver.
- Read: Inside ScyllaDB Rust Driver 1.0: A Fully Async Shard-Aware CQL Driver Using Tokio
- Related: P99 CONF on-demand
Introducing ScyllaDB X Cloud: A (Mostly) Technical Overview
By Tzach Livyatan
ScyllaDB X Cloud just landed! It’s a truly elastic database that supports variable/unpredictable workloads with consistent low latency, plus low costs.
- Read: Introducing ScyllaDB X Cloud: A (Mostly) Technical Overview
- Related: ScyllaDB X Cloud: An Inside Look with Avi Kivity
Inside Tripadvisor’s Real-Time Personalization with ScyllaDB + AWS
By Dean Poulin
See the engineering behind real-time personalization at Tripadvisor’s massive (and rapidly growing) scale
- Read: Inside Tripadvisor’s Real-Time Personalization with ScyllaDB + AWS
- Related: How ShareChat Scaled their ML Feature Store 1000X without Scaling the Database
Why We Changed Our Data Streaming Approach
By Asias He
How moving from mutation-based streaming to file-based streaming resulted in 25X faster streaming time.
How Supercell Handles Real-Time Persisted Events with ScyllaDB
By Cynthia Dunlop
How a team of just two engineers tackled real-time persisted events for hundreds of millions of players
- Read: How Supercell Handles Real-Time Persisted Events with ScyllaDB
- Related: Rust Rewrite, Postgres Exit: Blitz Revamps Its “League of Legends” Backend
Why Teams Are Ditching DynamoDB
By Guilherme da Silva Nogueira, Felipe Cardeneti Mendes
Teams sometimes need lower latency, lower costs (especially as they scale) or the ability to run their applications somewhere other than AWS
A New Way to Estimate DynamoDB Costs
By Tim Koopmans
We built a new DynamoDB cost analyzer that helps developers understand what their workloads will really cost
Efficient Full Table Scans with ScyllaDB Tablets
By Felipe Cardeneti Mendes
How “tablets” data distribution optimizes the perfromance of full table scans on ScyllaDB.
- Read: Efficient Full Table Scans with ScyllaDB Tablets
- Related: Fast and Deterministic Full Table Scans at Scale
How We Simulate Real-World Production Workloads with “latte”
By Valerii Ponomarov
Learn why and how we adopted latte, a Rust-based lightweight benchmarking tool, for ScyllaDB’s specialized testing needs.
- Read: How We Simulate Real-World Production Workloads with “latte”
- Related: Database Benchmarking for Performance Masterclass
How JioCinema Uses ScyllaDB Bloom Filters for Personalization
By Cynthia Dunlop
JioCinema (now Disney+ Hotstar) was operating at a scale that required creative solutions beyond typical Redis Bloom filters. This post explains why and how they used ScyllaDB’s built-in Bloom filters for real-time watch status checks.
Bonus: Top NoSQL Database Blogs From Years Past
Many of the blogs published in previous years continued to resonate with the community. Here’s a rundown of 10 enduring favorites:
- How io_uring and eBPF Will Revolutionize Programming in Linux (Glauber Costa): How io_uring and eBPF will change the way programmers develop asynchronous interfaces and execute arbitrary code, such as tracepoints, more securely. [2020]
- Database Internals: Working with IO (Pavel Emelyanov): Explore the tradeoffs of different Linux I/O methods and learn how databases can take advantage of a modern SSD’s unique characteristics. [2024]
- On Coordinated Omission (Ivan Prisyazhynyy): Your benchmark may be lying to you. Learn why coordinated omissions are a concern and how they are handled in ScyllaDB benchmarking. [2021]
- ScyllaDB vs MongoDB vs PostgreSQL: Tractian’s Benchmarking & Migration (João Pedro Voltani): TRACTIAN compares ScyllaDB, MongoDB, and PostgreSQL and walks through their MongoDB-to-ScyllaDB migration, including challenges and results. [2023]
- Introducing “Database Performance at Scale”: A Free, Open Source Book (Dor Laor): A practical guide to understanding the tradeoffs and pitfalls of optimizing data-intensive applications for high throughput and low latency. [2023]
- ScyllaDB vs. DynamoDB Benchmark: Comparing Price Performance Across Workloads (Eliran Sinvani): A comparison of cost and latency across DynamoDB pricing models and ScyllaDB under varied workloads and read/write ratios. [2023]
- Benchmarking MongoDB vs ScyllaDB: Performance, Scalability & Cost (Dr. Daniel Seybold): A third-party benchmark comparing MongoDB and ScyllaDB on throughput, latency, scalability, and price-performance. [2023]
- Apache Cassandra 4.0 vs. ScyllaDB 4.4: Comparing Performance (Juliusz Stasiewicz, Piotr Grabowski, Karol Baryla): Benchmarks showing 2×–5× higher throughput and significantly better latency with ScyllaDB versus Cassandra. [2022]
- DynamoDB: When to Move Out (Felipe Cardeneti Mendes): Why teams leave DynamoDB, including throttling, latency, item size limits, flexibility constraints, and cost. [2023]
- Rust vs. Zig in Reality: A (Somewhat) Friendly Debate(Cynthia Dunlop): A recap of a P99 CONF debate on systems programming languages with participants from Bun.js, Turso, and ScyllaDB. [2024]
