ScyllaDB Summit Day 1: NoSQL at Scale…with Less
Database experts from Discord, Strava, ScyllaDB & more shared top trends & strategies for working with data-intensive applications.
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Distributed Database Blogs
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ScyllaDB Summit Day 2: Continuing the High-Performance NoSQL Conversation
ScyllaDB Summit 2023 wrapup: a recap of NoSQL and event streaming tech talks, links to on-demand videos & decks, and more opportunities to explore high-performance NoSQL.
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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...
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Cutting Database Costs: Lessons from Comcast, Rakuten, Expedia & iFood
A look at how several dev teams significantly reduced database costs while actually improving database performance.
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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...
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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...
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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
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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.
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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.
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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.
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Set Up Your Own 1M OPS Benchmark with ScyllaDB Cloud & Terraform
How to run your own ScyllaDB benchmark on a heavy workload in just minutes
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Benchmarking MongoDB vs ScyllaDB: Caching Workload Deep Dive
benchANT's comparison of ScyllaDB vs MongoDB in terms of throughput, latency, scalability, and cost for a caching workload
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See all the latest ScyllaDB blogs
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Top Mistakes with ScyllaDB: Configuration
Get an inside look at the most common ScyllaDB configuration mistakes – and how to avoid them.
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MongoDB vs ScyllaDB: Architecture Comparison
benchANT's Dr. Daniel Seybold compares MongoDB and ScyllaDB architectures, with a focus on what the differences mean for performance and scalability
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Benchmarking MongoDB vs ScyllaDB: Performance, Scalability & Cost
See how MongoDB and ScyllaDB compare on throughput, latency, scalability, and price-performance across various workloads in this third-party benchmark.
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Inside Augury’s Move from MongoDB to ScyllaDB
Augury's predictive services hit the limits of MongoDB; learn how ScyllaDB enabled them to scale and simplify.
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Introducing “Database Performance at Scale”: A Free, Open Source Book
Discover new ways to optimize database performance and avoid common mistakes that impact latency and throughput.
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Epic Games & Unreal Engine: Where ScyllaDB Comes Into Play
How Epic Games uses ScyllaDB as a binary cache in front of NVMe and S3 to accelerate global distribution of large game assets used by Unreal Cloud DDC
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5 More Intriguing ScyllaDB Capabilities You Might Have Overlooked
A look at 5 more “hidden gem” ScyllaDB capabilities that help ScyllaDB power users: load and stream, timeout per operation, live updateable parameters, guardrails, compaction & streaming rate-limiting
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NoSQL Data Modeling Mistakes that Hurt Performance
See how NoSQL data modeling anti-patterns actually manifest themselves in practice, and how to diagnose/eliminate them.
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