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Transforming Business Outcomes Through Strategic NoSQL Database Selection

DZone

We often dwell on the technical aspects of database selection, focusing on performance metrics , storage capacity, and querying capabilities. Yet, the impact of choosing the right NoSQL database goes beyond these parameters; it affects your business outcomes.

Database 268
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Reducing Network Latency and Improving Read Performance With CockroachDB and PolyScale.ai

DZone

Think of PoPs as regional database connections. This versatility provides a cost-effective solution to reduce global network latency by bringing the database closer to the end user. PolyScale operates a global network of PoPs (Points of Presence).

Latency 242
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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

Microsoft Azure is one of the most popular cloud providers in the world, and a natural fit for database hosting on applications leveraging Microsoft across their infrastructure. MySQL is the number one open source database that’s commonly hosted through Azure instances. We measure latency in ms 95th percentile latency.

Azure 299
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Reducing Your Database Hosting Costs: DigitalOcean vs. AWS vs. Azure

Scalegrid

If you’re hosting your databases in the cloud, choosing the right cloud service provider is a significant decision to make for your long-term hosting costs. Over the last few weeks, we have been inundated with requests from SMB customers looking to improve the ROI on their database hosting. MongoDB® Database. EC2 instances.

Azure 344
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Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations.

Database 217
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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212
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LinkedIn Migrates Espresso to HTTP2 and Reduces Connections by 88% and Latency by 75%

InfoQ

LinkedIn was able to dramatically improve the scalability and performance of its Espresso database by migrating it from HTTP1.1 to HTTP2, resulting in a reduction in the number of connections, latency, and garbage collection times. By Rafal Gancarz

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