%20-%20No%20BG.gif)
.jpg)
Azure Synapse combines big data and data warehousing into one cohesive platform. Enterprises have access to cutting-edge analytics tools and machine learning models to evaluate vast amounts of data, both structured and unstructured.
AWS Landing Zone assist businesses to rapidly set up and manage a multi-account, secure AWS environment. A pre-defined collection of AWS best practices, guidelines, and automation tools allow for quicker deployment of a well-architected AWS environment.
Google App Engine is a flexible and scalable PaaS offering. Developers can quickly and easily create and deploy web applications and mobile backends on the cloud without having to worry about managing the underlying infrastructure.
Azure IoT Hub is a powerful platform for connecting, monitoring and managing IoT devices at scale. It offers a variety of features and tools for organizations to ingest multiple streams of IoT devices, analyze and make data-driven decisions.
Organizations can easily store and analyze massive volumes of data on Amazon Redshift, a cloud-based data warehousing solution by Amazon. It is an effective, scalable tool for organizations to perform complex analytics on big data.
BigQuery is Google's fully-managed data warehouse solution built for storing, processing and analyzing large datasets. It enables businesses to process large amounts of data quickly, without having to worry about managing infrastructure.
Azure Blob Storage is a cloud-based object storage solution by Microsoft Azure. It is a highly reliable, scalable and secure storage system for storing and managing large amounts of unstructured data in the cloud, with no upfront cost.
SageMaker is a robust machine learning service by Amazon. It enables developers and data scientist to build, train and deploy machine learning models at scale, through a suite of features such as pre-built algorithms and more.
For applications that demand large-scale, low-latency, and real-time data processing, Cloud Bigtable by Google is a robust, high-performance, scalable, fully managed NoSQL database solution for workloads requiring scalability and reliability.
Azure Logic Apps is a powerful solution for automating complex workflows and integrations between different systems and services. It is a low-code/no-code development platform, making it accessible to both developers and non-technical users.
Amazon S3 is a Low-latency, scalable, secure, and reliable object storage by Amazon. It offers features such as versioning, data lifecycle management, access controls and more to guarantee the availability and integrity of your data.
Vision AI is Google's powerful image analysis tool. It provides a range of capabilities for developers and businesses to gather insights from their image data and automate Image analysis tasks such as content moderation and product recognition.
Data Factory is Azure's data integration service. It enables businesses to make data-driven decisions by creating and managing data pipelines that automate and streamline data movement and processing.
Lambda is Amazon's serverless compute service built for businesses and developers looking to launch their applications and services quickly. It eliminates the need to manage the underlying infrastructure while providing flexibility.
Cloud SQL is Google's fully-managed, cloud-based relational database service supporting MySQL and PostgreSQL. It provide businesses with the capability to securly scale and manage their relational databases in the cloud.
API Management is a cloud-based API management solution by Microsoft Azure offering comprehesive tools for organizations to design, securely manage and publish their APIs to external and internal developers.
Elastic Beanstalk is Amazon's fully-managed cloud platform that provide organizations the simplicity of deploying and managing their web applications. Developers can easily deploy and scale their applications while enjoying greater flexibility.
Cloud Build is a fully-managed continuous integration and continuous delivery (CI/CD) platform by Google. It is highly integrated with other native services and developers can easily build, test, and deploy their applications on the cloud.
Machine Learning by Microsoft Azure provides organizations the ability to build, deploy, and manage machine learning models at scale. It supports an end-to-end ML process from data preparation to model deployment and management.
