Data is the heart of many companies and having the right tools to work with it can be the deciding factor for a company's success. Google Cloud Platform provides the most powerful and reliable infrastructure for an affordable price.
Storing large amounts of data, up to even petabytes, works effortlessly and fast. This is all made possible by Google's cutting-edge databases and its own quick and reliable private network. On top of everything, Google Cloud Platform offers extremely capable tools to streamline the data and get insights with powerful analytic tools such as BigQuery. In fact, studies show that companies using Google's BigQuery cut costs by up to 52% compared to on-premises EDWs.
Google Cloud Platform not only provides the best infrastructure for Big Data but also the right tools to make the most out of it.
With built-in machine learning functionality and dedicated machine learning tools, you can get valuable insights from your data and use it to its full potential to benefit your business. On top of that, you can analyze it live while it's being fed in to get results as quickly as possible. This can be a crucial factor for businesses that need to be able to react fast to their information.
When it comes to storing sensitive data on the cloud, security is a common concern. However, with Google Cloud your data is safer than on private data servers that are prone to hacker attacks and technical issues.
With Google Cloud your data is stored securely using multiple encryptions and Google's highly reliant and secure private network. Google complies to many international security standards and makes sure that your data is your data and no one else can access it, no matter what. Click here to learn more.
Having a capable, reliable and secure network is essential for Big Data. With Google Cloud Platform, you automatically use Google's private network — the best foundation for any business.
Google has focused on building the most efficient, lowest cost to operate, private internet.
-Tom Foremski, zdnet.com
If you want to work with Big Data and make the most out of it, not only do you need the right infrastructure, but also the right tools for the job. For data analytics, that is Google's BigQuery. Let's look at an example that demonstrates just how powerful BigQuery is and compare it to on-premises.
[...] BigQuery can provide a three-year TCO (total cost of ownership) that is 26-34% lower than the other three cloud-based solutions (AWS, Azure & Snowflake).
- Aviv Kaufmann, Senior Validation Analyst at ESG
A Benchmark SQL Query - 100 Billion Rows of Data with 3 Wildcards
Within 25 seconds, BigQuery ...
reads 1 TB of data and uncompresses it to 4 TB!
On-premises would require about 330 100MB/sec dedicated hard-drives to read 1TB of data.
executes 100 billion regular expressions with 3 wildcards each!
On-premises would require 3,300 cores to uncompress 1TB of data and process 100 billion regular expressions at 1 μsec per.
distributes 1.25TB of data across the network!
On-premises would require a 330 Gigabit network to shuffle the 1.25 TB of data.
All of this with just a simple query and one click.
This is the power of Big Data on the Google Cloud scale.
We began working together with Google over 10 years ago, when Google Cloud Platform just started up. Since then, we have continued to cooperate with Google to provide the best Google Cloud solutions possible. Over the years, we've helped many customers with tailored cloud solutions.
Since becoming a Google Cloud Premier Partner, our expertise has been acknowledged by Google numerous times. For example, we currently have acquired 8 different Google Cloud Specialization certifications.
If you are interested in Google Cloud Platform, please check out our various service packages or use the contact form at the bottom of the page.
provides an IoT PaaS service for the energy sector which is built on Google Cloud Platform.
By running their service on Google Cloud Platform, Kyocera is able to handle an increasingly large amount of data and effectively analyze all of it with BigQuery.
With GCP-provided services, such as Google App Engine or Big Query, you didn’t notice the infrastructure side. For this reason, as applications engineers, we felt that not having to think too much about the infrastructure made GCP very user-friendly.
Big Query boasts unparalleled price-to-performance, therefore it has become an indispensable tool that we use right across the board.
Cloud Ace’s Partner Billing Service was a real help because credit card payments made life difficult for the accounts department’s procedures and that was a stumbling block to using GCP.
If you want to read more case studies, please check out our case studies page.
Let us know what you're planning and we'd be happy to advise or support you with getting started with Google Cloud!