With the configurations used in this updated performance test, 4 million reads per second required 20 n1-standard-8 instances at $0.304 per hour each ($4499.20/month). In the December 2014 benchmark, a 1 million read per second configuration was quoted as $11.40 per hour (about $8300/month). It’s also multi-threaded and written in C. ![]() Aerospike is built to be extremely fast by leveraging SSDs for persistence and includes automatic scalability. It’s known for both speed and scale, and is often used for session storage, advertising profiles, recent financial transactions, caching and other fast key value uses. These results are significantly faster than the previous December 2014 benchmark, which showed 1 million write transactions per second with 50 servers and 1 million reads per second with 10 servers.Īerospike is a powerful open source NoSQL database. In doing this work, I independently validated their latest benchmark test results of up to 4 Million Transactions Per Second (TPS) on a single Aerospike cluster. In this post I’ll summarize what I learned from running benchmark tests with the Aerospike team using Google Cloud Platform (GCP) virtual machines. Validating 4 Million TPS using AerospikeDB with only 20 GCE nodes For more information: ScyllaDB.Today’s guest bloggers are Lynn Langit – Independent Cloud and Big Data Architect named the Google Cloud Developer Expert for the past three years and recognized as an AWS Community Hero, Microsoft MVP (SQL Server), MongoDB Master and ACM Distinguished speaker – and David Haley, startup engineer and former Google Cloud team member who was the first engineer on the Google Cloud Platform Americas sales team. ScyllaDB is available as free open source software, a fully-supported enterprise product, and a fully managed service on multiple cloud providers. Over 400 game-changing companies like Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung use ScyllaDB for their toughest database challenges. Unlike any other database, ScyllaDB is built with deep architectural advancements that enable exceptional end-user experiences at radically lower costs. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows. ScyllaDB is the database for data-intensive apps that require high performance and low latency. ![]() ScyllaDB’s benchmark details can be reviewed in an on-demand presentation with ScyllaDB VP of Product, Tzach Livyatan, and Head of Specialized Solution Architects, Compute at AWS, Ken Krupa. We are excited for the incredible performance and value these new instances will enable for our customers going forward." "With an even mix of reads and writes, we observed 2.2x higher throughput per vCPU, with a 40% reduction in average latency than I3 instances. When we tested I4i instances, we observed up to 2.7x increase in throughput per vCPU compared to I3 instances for reads," explained Avi Kivity, Chief Technology Officer and Co-Founder at ScyllaDB. "ScyllaDB is a high-performance NoSQL database that can take advantage of high-performance cloud computing instances. Results from benchmarking tests with ScyllaDB running on I4i family instances surpassed performance expectations. ![]() ScyllaDB’s NoSQL database is built with deep architectural advancements (asynchronous, shared-nothing, shard-per-core) that enable teams to harness the ever-increasing computing power of modern infrastructures - eliminating barriers to scale as data grows. They are powered by AWS Graviton2 processors and provide up to 30 TB of storage with AWS Nitro SSDs. Amazon EC2 Im4gn and Is4gen instances are next-generation, storage-optimized instances designed for running applications that require high throughput and low-latency access to large amounts of data on local SSD storage. Nitro SSDs are Non-Volatile Memory Express (NVMe)-based and custom-designed by AWS to provide high I/O performance, low latency, minimal latency variability, and security with always-on encryption. ScyllaDB uses Amazon EC2 I4i Instances to provide customers with performance improvementsĪmazon EC2 I4i instances are powered by 3rd generation Intel Xeon Scalable processors and feature up to 30 TB of local AWS Nitro Solid State Drives (SSD) storage. ![]() This includes the Amazon EC2 I4i instances which are x86 processor based, and im4gn and is4gen instances which use AWS Arm-based Graviton2 processors. PALO ALTO, Calif., Ap(GLOBE NEWSWIRE) - ScyllaDB, the company behind the ScyllaDB database for data-intensive applications that require high performance and low latency, announced that it is achieving staggering performance results on a range of new Amazon Elastic Compute Cloud (Amazon EC2) instance types powered by Amazon Web Services (AWS).
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