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Join our 3-part Developer Tech Talk series on new features & capabilities in ScyllaDB V. Aug 4, 11, 18

Inside ScyllaDB V

ScyllaDB V brings new performance, resilience, and ecosystem advantages that resolve longstanding challenges of legacy NoSQL databases. ScyllaDB 5.0 is the first milestone for ScyllaDB V.

ScyllaDB V Performance

Mixed Workload Latency Optimization *

The new IO model and scheduler provide fine-tuned balancing of mixed read/write requests based on the disk’s capabilities. This boosts throughput, reduces latency, and minimizes the impact of admin operations. It also reduces latency for real-time requests while running admin operations like scaling out.

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Infrastructure Innovation, Realized *

Tap the full power of high-performance cloud computing instances such as the new EC2 I4i instances with ScyllaDB’s close to the hardware design. Benchmark results show 2X improvement in throughput compared to the i3 instances on the same number of vCPUs. More Details

Faster, Simpler Large Partitions

ScyllaDB’s new adaptive caching strategy removes the performance penalty traditionally associated with large partitions – even with reversed queries. ScyllaDB can now handle even a 100GB partition with ease.

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Time Series Simplicity

Unbucketed time window compaction simplifies data modeling for time series data. Each time series can span as many time windows as it needs to; we’ll handle the logistics.

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ScyllaDB V Resilience

Strong, Immediate Consistency *

Get strong, immediately consistent schema updates, topology changes, tables and indexes, and more using the Raft consensus protocol. This eliminates schema and data conflicts, enables rapid and safe increases in cluster capacity, and provides a leap forward in manageability. Schema updates are in 5.0.

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Stress-Free Node Operations

Repair-based node operations provide significant improvements for performance and data safety. If an operation fails (for example from a network hiccup), it will resume from the same point. Plus, there’s no need to run repair before or after node operations.

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Automated Tombstone Garbage Collection *

Eliminate the risk of unwanted data resurrection with ScyllaDB automatically tracking the completion of repair operations and purging outdated tombstones. This improves performance by allowing compaction to remove tombstones earlier and reducing read amplification.

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Virtual Tables

As users increasingly move to ScyllaDB Cloud, they can no longer use admin tools like nodetool or update the scylla.yaml config file directly. Instead, ScyllaDB moved much of the functionality to Virtual Tables, making the information and configuration available via the programmatically friendly CQL data API.

ScyllaDB V Ecosystem

Robust Rust *

ScyllaDB is written on Seastar, an asynchronous, non-blocking runtime that works extremely well for building highly-reliable low-latency distributed applications. It’s a perfect complement for applications written in Rust. We offer a fully asynchronous Rust driver that uses the Tokio runtime. This will be the core code unifying our drivers, with language bindings to C++, C, /C++ and Python.

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Effortless WebAssembly *

Creating a user-defined function with Wasm is as easy as providing its source code represented in WebAssembly Text Format.

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Streamlined Kubernetes Orchestration *

Enhancements in ScyllaDB Operator further streamline deployment and management of ScyllaDB clusters via Kubernetes.

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* = available now