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.
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.
It's an open-source solution.
We use the free version of Apache NiFi.
It's an open-source solution.
We use the free version of Apache NiFi.
Google App Engine is a Platform-as-a-Service (Paas) provider that equips web application developers with all the resources and tools that they need to develop, test, and run their applications on Google's infrastructure. Everything is built into the kit, so with one download of the SDK, you'll be well on your way to first-rate apps.
The pricing is good in comparison to other solutions on the market.
I would like to have more free application with it. Some of the applications, I am paying more for them. I think that they must be free.
The pricing is good in comparison to other solutions on the market.
I would like to have more free application with it. Some of the applications, I am paying more for them. I think that they must be free.
Zadara is a powerful enterprise-level storage solution whose design enables it to handle every aspect of a user’s data storage needs. It can be deployed in any location, using any protocol, and storing any data type that an organization requires. With Zadara, organizations can do everything that they were able to do with more traditional systems in a cheaper and more efficient way.
For our use, it's appropriately priced and overall, it's proved to be very cost-effective against other tier-one vendors.
The pricing is very competitive and the fact that they have very compelling discounts for multi-year commitments is great.
For our use, it's appropriately priced and overall, it's proved to be very cost-effective against other tier-one vendors.
The pricing is very competitive and the fact that they have very compelling discounts for multi-year commitments is great.
Google Compute Engine delivers virtual machines running in Google's innovative data centers and worldwide fiber network. Compute Engine's tooling and workflow support enable scaling from single instances to global, load-balanced cloud computing.
It's $60,000 to $70,000 a month to replace about $10,000 a month in data center costs.
Google Compute Engine's pricing is flexible and the best of all other alternatives.
It's $60,000 to $70,000 a month to replace about $10,000 a month in data center costs.
Google Compute Engine's pricing is flexible and the best of all other alternatives.
