Moving to the Google Cloud Platform provides a great opportunity to achieve strategic growth, get the best technology has to offer in terms of performance, reduce costs, and do it with great speed. As your partner we will help you adopt Google Cloud Platform and scale for success.
Our Certified Google Cloud Developers and Cloud Architects have a comprehensive approach from evaluation to execution, with immediate results. We will partner with you for long term sustained success.
Google Cloud Platform enables developers to build, test, and deploy applications on Google's highly secure, reliable and scalable infrastructure.
Google offers great options for Machine Learning and Artificial Intelligence. Based on your organization's journey and maturity, you can pick one of these or a combination of these options to get real-time results.
Google offer's a host of options for your Big Data needs and they are fully managed and scalable.
Open source tool to build and run neural network models
Fully managed machine learning service
Pre-trained machine learning models built by Google
Managed Hadoop MapReduce, Spark, Pig, and Hive service
Stream and batch processing; unified and simplified pipelines
Analytics database; stream data at 1,00,000 rows per second
Scalable and flexible enterprise messaging
Interactive data exploration
Cassification and regression
Image and video analytics
|Cloud Datastore||Cloud Bigtable||Cloud Storage||Cloud SQL||Cloud Spanner||BigQuery|
|Types||NoSQL document||NoSQL wide column||Blobstore||Relational SQL for OLTP||Relational SQL for OLTP||Relational SQL for OLAP|
|Best for||Semi-structured application data, durable key-value data||'Flat' data, Heavy read/write, events, analytical data||Structured and unstructured binary or object data||Web frameworks, existing applications||Large-scae database applications (>~2 TB)||Intractive querying, Offline analytics|
|Use cases||Getting started, App Engine applications||AdTech Financia and IoT data||Images, large media files backups||User credentials customer orders||Whenever high I/O, consitency is needed||Data warehousing|