Google Inc (NASDAQ: GOOGL), has launched Google Cloud Bigtable, to store huge amount of data in cloud, wherein organizations can perform the big data analysis in Cloud service.
What features does the service provide?
This service is a “fully managed NoSQL database service”. Cloud Bigtable promises efficiency, allowing organizations to focus on developing value added applications. This service can be accessed by the HBase API, which is integrated with the existing big data and Hadoop ecosystems. Cloud Bigtable is provided through the standard Apache HBase open source API. The service ensures smooth transition from privately managed Apache HBase to Cloud Bigtable service. Data can be exported from Cloud Bigtable data to standard formats.
To see a list of high yielding CDs go here.
Google has been using Cloud Bigtable from more than 10 years for its major applications like YouTube, Google Maps, Gmail and Google Earth. The service is made by a “replicated storage strategy”, wherein the entire data can be encrypted, and protected by stronger role-based ACLs.
Cloud Bigtable can be scaled to hundreds of petabytes as well as and millions of reads and writes per second, while maintaining single-digit millisecond latencies. No workload is too large to handle. Cloud Bigtable has a huge scalability to hundreds of petabytes, and has the ability to perform millions of reads and writes per second though keeping single-digit millisecond latencies.
Sungard’s Case Study
As per the US Securities and Exchange Commission’s Rule 613, national securities exchanges and associations needed to build and implement a Consolidated Audit Trail (CAT) for tracking the trading activity in the United States.
SunGard is among the bidders to build CAT, the most challenging platform wherein CAT had to process and store over 100 billion market events every trading day and have this backup for regulators to monitor and perform analysis. This storage is very huge, that is over 30 petabytes of data over the next six years.
The company started working with Google Cloud Bigtable in 2014, and has tested a prototype with this service. Google Cloud Bigtable only validates, links, formats as well as publishes to analytical stores, for query by business intelligence (BI) tools and other applications for reporting and analysis purposes. SunGard also believes that using a cloud platform is even cost efficient as compared to traditional dedicated hardware
Meanwhile SunGard estimates a huge potential to Google’s Bigtable across multiple industries and definitely be useful for applications which are complex than CAT projects. Apart from Sungard, Google has already worked with other partners for its Cloud Bigtable initiative, which includes CCRi for real-time geospatial analysis, Pythian for monitoring and Telit Wireless Solutions for data ingestion. The Beta version of the service will be first launched in Google’s central US region, Europe and APAC.