Google Cloud Platform vs H2O.ai
Last updated: December 12, 2019
Google Cloud Platform is a set of modular cloud-based services that allow you to create anything from simple websites to complex applications. Cloud Platform provides the building blocks so you can quickly develop everything from simple websites to complex applications. Explore how you can make Cloud Platform work for you.
H2O is open-source software for big-data analysis. It is produced by the company H2O.ai. H2O allows users to fit thousands of potential models as part of discovering patterns in data.
Google Cloud Platform vs H2O.ai in our news:
2019 - Google Cloud gets a new family of cheaper general-purpose compute instances
Google Cloud announced the launch of its new E2 family of compute instances. These new instances, which are meant for general-purpose workloads, offer a significant cost benefit, with saving of around 31% compared to the current N1 general-purpose instances. The new system is also smarter about where it places VMs, with the added flexibility to move them to other hosts as necessary. To achieve all of this, Google built a custom CPU scheduler. Google says that “unlike comparable options from other cloud providers, E2 VMs can sustain high CPU load without artificial throttling or complicated pricing. It’ll be interesting to see some benchmarks that pit the E2 family against similar offerings from AWS and Azure.
2018 - Google Cloud adds new applications performance monitoring tool
Google added a key ingredient for developers building applications on the Google Cloud Platform - a suite of application performance management tools called Stackdriver APM. It is designed for developers to track issues in the applications they have built instead of passing that responsibility onto operations. The thinking is that the developers who built the applications and are closest to the code are therefore best suited to understand the signals coming from it. StackDriver APM is made up of three main tools: Profiler, Trace and Debugger. Trace and Debugger have already been available, but by putting them together with Profiler, the three tools work together to identify, track and repair code issues. So we may assume that Google Cloud Platform provides better APM compared vs VMware vCloud
2017 - Google Cloud Platform cuts the price of GPUs by up to 36 percent
Google is cutting the price of using Nvidia’s Tesla GPUs through its Compute Engine by up to 36 percent. In U.S. regions, using the somewhat older K80 GPUs will now cost $0.45 per hour while using the newer and more powerful P100 machines will cost $1.46 per hour (all with per-second billing). Thus Google is aiming this feature at developers who want to run their own machine learning workloads on its cloud, though there also are a number of other applications — including physical simulations and molecular modeling — that greatly benefit from the hundreds of cores that are now available on these GPUs. So Google Cloud Platform is now more AI-friendly if compared vs Windows Azure
2017 - Google Cloud Platform gets a cheaper, lower-performance networking tier to take on Windows Azure
Google is giving its Cloud Platform users a new, cheaper networking option. Developers can now choose between a premium tier, which routes traffic to their users over Google’s own high-speed networks for as long as possible to minimize hops and distance, and a standard tier, which routes traffic over the public internet, with all the potential slowdowns and extra hops this entails. Pricing for the standard tier is 24-33 percent lower than for the premium tier in North America and Europe. Google uses different pricing models for these two tiers, though. Prices for premium traffic is based on the traffic’s source and destination, so you pay for the distance your traffic travels over Google’s network, while the standard tier’s prices are only based on where the source is. So Google Cloud Platform is now more affordable than Windows Azure.
2017 - Google Cloud Platform improved its free tier to challenge Windows Azure
Google launched an improved always-free tier and trial program for its Cloud Platform. The free tier, which now offers enough power to run a small app in Google’s cloud, now allows for free usage of a small (f1-micro) instance in Compute Engine, Cloud Pub/Sub, Google Cloud Storage and Cloud Functions. In total, the free tier now includes 15 services. The addition of the Compute Engine instance and 5GB of free Cloud Storage usage is probably the most important update here because those are, after all, the services that are at the core of most cloud applications. You can find the exact limits here. With this move, Google is clearly stepping up its attacks against AWS, which offers a similar but more limited free tier program for its users.
2017 - Google Cloud Platform takes on Windows Azure with new Windows VMs. Parse should better react
Google announced several new products today aimed at luring IT pros who are using Windows in their data centers to the Google Cloud Platform. The company introduced support for Microsoft SQL Server Enterprise and Windows Server Core on the Cloud Platform. In addition, the company announced support for SQL Server Always-On Availability Group for customers who are concerned about high availability and disaster recovery when running critical operations in a cloud setting. What this means in practical terms is that IT pros can now launch pre-configured virtual machines running any of these products on Google Cloud Platform, and pay for them by the minute — or they can bring an existing SQL Server license they have already paid for.
2017 - Google Cloud Platform gets a new key management service. Beware Heroku
Google Cloud Platform is launching a new key management service, that will help enterprises, especially in regulated industries like healthcare and banking, to create, use, rotate and destroy their encryption keys in the cloud. Enterprises have traditionally managed their keys on-premise, but as they have slowly moved more of their workloads to the cloud, they have also started thinking about how they can manage their keys in the cloud, too. With the AWS Key Management Service and Azure Key Vault, Amazon and Microsoft have long offered a similar tool, for example, and even Google itself already offered a more basic version of Cloud KMS for users who wanted to supply their own encryption keys.
2016 - Google Cloud Platform gets new a cold storage service
Google launched Coldline - a new cold storage service for data archiving and disaster recovery (an alternative to Amazon Glacier). Google Cloud Storage already offered the similar service Nearline. But when Nearline came out of beta earlier this year, it also became much faster. Instead of three to five seconds of latency, access to data was now real-time. So, Coldline basically fills the gap that the improved Nearline service left after it came out of beta. Coldline storage will only cost $0.007 per gigabyte per month (and $0.05 per gigabyte retrieved). Nearline costs $0.01 per month. That may not look like a huge difference, but those numbers quickly add up if you are storing massive amounts of data.
2015 - Google launched custom machine types for its Cloud Platform
Google Cloud Platform launched a new way of buying virtual machines in its cloud - Custom Machine Types. With new Custom Machine Types, Google lets you specify exactly how many vCPUs (up to 32) and how much memory you need (up to 6.5 GiB per vCPU — Google likes to be precise, so it doesn’t use ‘gigabyte’ and instead specifies the number of gibibytes). If your needs change — as they inevitably will — you can adjust the number of cores and memory as needed. Maybe you’ve outgrown the virtual machine with two vCPUs. Typically, you would have to step up to a machine type with four vCPUs, even if you only needed three. Because you don’t have a choice, you end up paying for more power than you need.
2015 - Google Cloud Platform now allows to store Docker container images. Beware Parse
Google announced the beta launch of the Google Container Registry for its Cloud Platform. This new service allows developers to host, share and manage their private Docker container repositories on the company’s cloud computing platform. By default, Docker offers its own public images registry so developers can quickly install anything from a basic unadorned Ubuntu machine to servers that have already been set up to run WordPress, mongoDB, Hadoop or virtually any other server package you can think of. Many businesses have no interest in publishing their containers to a public repository, of course. They can run their own private repositories or use services like Quay.io that offer this feature as a cloud-based service. At its core, that’s what Google’s Container Registry does, too, but with a focus on Google’s own cloud computing platform.