Azure Stream Analytics is a robust real-time analytics service that has been designed for critical business workloads. Users are able to build an end-to-end serverless streaming pipeline in minutes. Utilizing SQL, users are able to go from zero to production with a few clicks, all easily extensible with unique code and automatic machine learning abilities for the most advanced scenarios.
The cost of this solution is less than competitors such as Amazon or Google Cloud.
We pay approximately $500,000 a year. It's approximately $10,000 a year per license.
The cost of this solution is less than competitors such as Amazon or Google Cloud.
We pay approximately $500,000 a year. It's approximately $10,000 a year per license.
Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory
Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera.
Spark is an open-source solution, so there are no licensing costs.
Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera.
Spark is an open-source solution, so there are no licensing costs.
AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging. All you need to do is supply your code in one of the languages that AWS Lambda supports (currently Node.js, Java, C# and Python).
AWS is slightly more expensive than Azure.
Its pricing is on the higher side.
AWS is slightly more expensive than Azure.
Its pricing is on the higher side.
AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2 and Spot Instances.
AWS Batch's pricing is good.
The pricing is very fair.
AWS Batch's pricing is good.
The pricing is very fair.
The price of the solution depends on many factors, such as how they pay for tools in the company and its size.
Google Cloud is slightly cheaper than AWS.
The price of the solution depends on many factors, such as how they pay for tools in the company and its size.
Google Cloud is slightly cheaper than AWS.
A new compute engine that enables you to use containers as a fundamental compute primitive without having to manage the underlying instances. With Fargate, you don’t need to provision, configure, or scale virtual machines in your clusters to run containers. Fargate can be used with Amazon ECS today, with plans to support Amazon Elastic Container Service for Kubernetes (Amazon EKS) in the future.
I rate the price of AWS Fargate a four out of five.
I rate the price of AWS Fargate a four out of five.
Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.
Pricing could be a little bit more competitive.
The pricing is not fixed and it is based on usage.
Pricing could be a little bit more competitive.
The pricing is not fixed and it is based on usage.
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.
Pricing appears to be cheap, however, it is extremely difficult in calculating what something will cost.
It has helped to reduce costs with infrastructure.
Pricing appears to be cheap, however, it is extremely difficult in calculating what something will cost.
It has helped to reduce costs with infrastructure.
Oracle Compute Cloud Service is an infrastructure as a service (IaaS) offering that provides flexible and scalable computing, block storage, and networking services on Oracle Cloud. You can now set up and manage your computing and storage workloads in the cloud, on demand, using a self-service portal. You'll significantly reduce your computing costs and increase your business efficiency and agility. Use Oracle Compute Cloud Service to migrate your on-premises workloads to the cloud and reap the many cloud benefits.
StackStorm is widely used for automating tasks, managing DevOps workflows, and orchestrating events. It integrates services and tools to automate complex processes, improving efficiency, reducing manual tasks, and allowing for quicker incident response and better IT system coordination.
