performance metrics

Tech Optimizer
June 4, 2025
Snowflake intends to acquire Crunchy Data, a provider of open-source Postgres technology, to integrate its enterprise-grade PostgreSQL database into the Snowflake ecosystem. This acquisition, announced at the Snowflake Summit 2025, aims to enhance secure and compliant AI applications for enterprises. Snowflake Postgres will utilize Crunchy Data's technology to provide full Postgres compatibility and support for production applications, particularly in FedRAMP-compliant environments. The integration is expected to simplify the development and scaling of AI applications and is set to enter private preview soon. The acquisition is subject to regulatory approvals and customary closing conditions.
Tech Optimizer
June 4, 2025
Snowflake is acquiring Crunchy Data, a provider of open-source PostgreSQL technology, to enhance its PostgreSQL database services and bolster its AI Data Cloud platform with the introduction of Snowflake Postgres. This acquisition will provide developers with full PostgreSQL capabilities integrated with governance, security, and operational standards for AI applications. Crunchy Data, founded in 2012, offers products like Crunchy Bridge and has a focus on security and compliance, making it a trusted choice for enterprises. Snowflake plans to integrate Crunchy Data's technology into its offerings, streamlining the lifecycle of enterprise PostgreSQL workloads. The acquisition is estimated to be around 0 million and is pending regulatory approvals. Snowflake aims to support Crunchy Data's existing customers and strengthen ties with the Postgres community.
Tech Optimizer
June 3, 2025
Snowflake CEO Sridhar Ramaswamy announced plans to acquire Crunchy Data, a provider of enterprise-grade Postgres solutions, to enhance Snowflake’s offerings with a fully managed and hosted Postgres implementation across cloud platforms like AWS, Azure, and GCP. This acquisition will introduce Snowflake Postgres, an AI-ready PostgreSQL database, aimed at supporting mission-critical AI applications while ensuring governance, security, and operational standards. Crunchy Data’s platform offers scaling and performance metrics for enterprise database workloads, and the acquisition reflects the demand for secure Postgres solutions. The transition will likely rebrand Crunchy Data as Snowflake Postgres, providing a traditional relational database within Snowflake's data and AI platform. Snowflake aims to address a substantial market opportunity and has committed to investing in the future of the Postgres community. Snowflake Postgres will soon be available in private preview, pending regulatory approvals.
AppWizard
May 27, 2025
Capcom's strategic shift towards the PC gaming market has been successful, particularly after the release of Monster Hunter World on PC, which was initially delayed but received a positive response. The company aimed for 50% of its sales to come from PC by 2022 or 2023. Capcom has reported eight consecutive years of record profits, with 60% of its digital game sales in the last fiscal year coming from PC, contributing to over 54% of total game sales. Despite initial performance issues, Monster Hunter Wilds has performed well on Steam, with over half of its sales in February 2025 originating from this platform. Capcom is committed to releasing titles simultaneously on PC and consoles, indicating a promising outlook for future releases.
Winsage
May 26, 2025
Valve has expanded support for handheld consoles, including the Lenovo Legion Go S, which now offers an option for SteamOS alongside Windows. A recent analysis by YouTuber Dave2D highlights that the SteamOS version significantly outperforms the Windows version in terms of framerate and battery life. The Windows version retails for approximately 9, while the SteamOS variant is priced at 9. In performance tests, the SteamOS version achieved 10-15 FPS higher in games like Cyberpunk 2077 and The Witcher 3, and provided over six hours of gameplay compared to the Windows version's two hours and 47 minutes. The Lenovo Legion Go S also surpasses the Steam Deck in framerate, achieving 10-15 FPS more at a 15W power draw, although the Steam Deck still has an advantage in battery life and pricing. The performance gap raises questions about Microsoft's upcoming handheld device running Windows and its ability to compete with the efficiency of SteamOS.
Tech Optimizer
May 21, 2025
Upgrading to Graviton4-based R8g instances with Aurora PostgreSQL-Compatible 17.4 in an Aurora I/O-Optimized cluster configuration results in significant performance improvements. The new instances provide up to 1.7 times higher write throughput, 1.38 times better price-performance, and reduce commit latency by up to 46% on r8g.16xlarge instances and 38% on r8g.2xlarge instances compared to Graviton2-based R6g instances. The Amazon Aurora PostgreSQL-Compatible Edition now supports AWS Graviton4-based R8g instances and PostgreSQL 17.4, which introduces performance enhancements for I/O-Optimized configurations, optimizing write operations and batch processing. R8g instances offer up to 192 vCPUs and 1.5 TB of memory, supporting larger configurations and providing up to 50 Gbps of network bandwidth. PostgreSQL 17 includes vacuum improvements, eliminates the need to drop logical replication slots during upgrades, and expands SQL/JSON standards. Aurora PostgreSQL-Compatible separates compute from storage, enabling independent scaling and maintaining six-way replication for durability, while processing changes as log records to reduce I/O operations. Performance benchmarks using HammerDB show improvements in throughput and commit latency across various workloads. For small workloads on 2xlarge instance size, throughput increased by 50.25% and commit latency improved by 33.87%. For medium workloads on 16xlarge instance size, throughput increased by 30% and commit latency improved by 17.44%. The most significant performance benefits arise from combining hardware upgrades from Graviton2 to Graviton4 with database engine upgrades from PostgreSQL 15.10 to 17.4. For small workloads, throughput increased by 70% and commit latency improved by 38.71%. For medium workloads, throughput increased by 70% and commit latency improved by 46.67%. Cost efficiency is also enhanced, with a 38% improvement in price performance and a 61.26% improvement in price-performance ratio when comparing Graviton2 and Graviton4 instances. Reserved Instances for Graviton4-based R8g instances offer additional cost-optimization opportunities.
Tech Optimizer
May 20, 2025
Databases are essential for organizations, and their performance is critical to user experience and operational efficiency. AWS introduced Amazon Elastic Block Store (Amazon EBS) io2 Block Express in December 2020 to address performance issues related to storage latency during database operations. This solution enhances storage management for high-performance database servers, supporting up to 256,000 IOPS and 4,000 MiB/s throughput per volume, with a maximum volume size of 64 TiB and sub-millisecond disk I/O latency. A performance comparison was conducted between PostgreSQL databases on Amazon EBS gp3 and io2 Block Express, utilizing the HammerDB benchmarking tool. The analysis involved four tests: OLTP Load test, OLTP Stress test, OLAP Load test, and OLAP Stress test, using r5b.24xlarge EC2 instances. Results indicated that io2 Block Express outperformed gp3 by 2.08 times in transactions per minute (TPM) and provided significantly lower latency for both OLTP and OLAP workloads. Key differences between gp3 and io2 Block Express include durability, with io2 offering 99.999% durability compared to gp3's 99.8% – 99.9%. The maximum IOPS for gp3 is 16,000, while io2 supports up to 64,000 IOPS. Pricing for gp3 is approximately ,375.36/month, while io2 Block Express costs around ,408/month, reflecting its premium performance capabilities. In benchmarking tests, io2 Block Express demonstrated superior performance, achieving 3.95 times faster average performance than gp3 across all scenarios. It is particularly suitable for mission-critical applications requiring consistent sub-millisecond latency and high durability.
AppWizard
May 19, 2025
Frogwares has released a remastered edition of The Sinking City for free to existing owners, utilizing Unreal Engine 5 and Lumen technology. The remaster retains original settings while adding options for Upscaling and Ray Tracing, supporting NVIDIA DLSS 3 and AMD FSR 3.0. However, the DLSS Frame Generation feature is currently non-functional, and FSR Frame Gen is limited to AMD FSR Upscaling. Performance testing indicates that the game is GPU-bound, requiring at least an NVIDIA RTX 4080 or AMD Radeon RX 9070XT for over 60FPS at 1080p with maximum settings and no Ray Tracing. The AMD Radeon RX 6900XT underperformed compared to the NVIDIA RTX 3080, while the RX 9070XT matched the RX 7900XTX. At 1440p with maximum settings and no Ray Tracing, only the NVIDIA RTX 4090 and RTX 5090 achieved consistent framerates above 60FPS. No GPU provides a smooth experience at native 4K resolution with maximum settings and no Ray Tracing, with the RTX 5090 occasionally dipping below 55FPS. Adjusting in-game settings can significantly enhance performance, with High settings yielding over 83FPS on the RTX 5090. The remaster features higher-quality textures and improved lighting, although traversal stutters from the original version persist.
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