Silk - kn

Tanel Poder and Kellyn Gorman team up on a webinar to talk Oracle on Azure

Silk recently hosted a webinar, Lift, Shift and Evolve: Moving Oracle onto Azure, with two experts on high performance Oracle databases and Microsoft Azure:

SQL Data Loading at 8TB per Hour, 20 Million Rows per Second with Silk on Azure

If you are a Microsoft customer looking at how to migrate Microsoft SQL Server from on-prem to Azure, this blog is for you. We will share 5 considerations for achieving high database performance while avoiding any pitfalls related to refactoring or over-spending on cloud bills.

For the past few weeks, we’ve been comparing the performance and power of the Silk Platform vs NetApp Cloud Volumes ONTAP. Using NetApp’s own public test results, we have so far shown some dramatic differences in every aspect of the performance trinity: IOPS, Throughput, and Latency.  We’ve done this with direct comparisons to NetApp’s tests and we’ve also run some additional testing of our own to showcase both the simple hero number results, as well as how Silk performs with some much more heavy-duty workloads.  In the case of the former, Silk came out on top every time for higher performance at much lower latency, and in the case of the latter, Silk showed some incredible numbers under some of the most crushing workloads you would see from your real database applications.

Oracle Exadata is built for mission-critical databases requiring ultra-fast performance and high availability. On Exadata is where you will find enterprise “crown jewel” applications, the most challenging applications to move to the cloud.

If you are migrating Oracle databases from Exadata to the public cloud, you are likely concerned about performance, availability, and scalability limitations. We often hear: “Can I successfully migrate Exadata to Azure (or insert other cloud platforms here)?” and “How can I achieve Exadata-like performance in the cloud without breaking the bank?”

This blog will talk about cloud performance testing, specifically:

Hello again everyone. I hope you’ve been enjoying our fun little adventure with our friends at NetApp, doing some performance comparisons between Silk and NetApp Cloud Volumes ONTAP running on AWS.  We’ve been running the tests which NetApp has published in a whitepaper on our own cloud data platform and comparing the results. So far, they’ve been extremely interesting!  As promised, today we’re going to do a comparison on the final NetApp test, labeled Mixed Reads/Writes.

We’re halfway through our blog series comparing the performance between the Silk Platform and NetApp Cloud Volumes ONTAP for AWS (as published in a whitepaper on NetApp’s website) You can find my first three blog posts where we compared results for tests focused on 4K Random Reads, 8K Transactional/OLTP workload, and Sequential Reads here.

We’re a few posts into our blog series comparing the performance between the Silk Platform and NetApp Cloud Volumes ONTAP for AWS (as published in a whitepaper on NetApp’s website) You can find my first two blog posts where we looked at some basic hero number tests with 4K Random Reads and a simple 8K Transactional/OLTP type workload.