infoTECH Feature

May 07, 2015

Google Creates More Efficient Big Data Solution with Cloud Bigtable NoSQL Offering

Managing big data is becoming more and more of an imperative, and organizations are scrambling to find better and more efficient database solutions. Google (News - Alert) has been at the forefront of development with its Bigtable initiative, and has now announced Cloud Bigtable, a new NoSQL database solution. Powered by the Bigtable data storage system, the new offering promises to provide single-digit millisecond latency.

Cloud Bigtable is compatible with the Apache HBase API, which is based on the Google Bigtable project. Google claims the new solution will offer two times the performance per dollar of HBase as well as Cassandra, both Apache NoSQL distributed databases. But because of the HBase API support, Cloud Bigtable may be easily integrated with existing apps in the Hadoop architecture while still supporting Google’s Cloud Dataflow. An essential part of the Google Cloud Platform, Cloud Dataflow facilitates execution of large-scale data processing, including analytics, real-time computation and process orchestration.

“As businesses become increasingly data-centric, and with the coming age of the Internet of Things (IoT), enterprises and data-driven organizations must become adept at efficiently deriving insights from their data,” wrote Cory O’Connor, product manager at Google, in a blog post announcing Cloud Bigtable. “In this environment, any time spent building and managing infrastructure rather than working on applications is a lost opportunity. Google Cloud Bigtable excels at large ingestion, analytics, and data-heavy serving workloads. It's ideal for enterprises and data-driven organizations that need to handle huge volumes of data, including businesses in the financial services, AdTech, energy, biomedical, and telecommunications industries.”

Google has assembled a number of partners to help customers get started implementing Cloud Bigtable. These include financial services provider SunGard, global data consulting company Pythian and CCRi, a supporter of the GeoMesa open source spatio-temporal database. Tellit Wireless Solutions, which specializes in IoT enablement, has also integrated their m2mAIR platform with Cloud Bigtable. The solution is currently available as a beta release throughout the world.


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