Based on our record, Amazon EMR should be more popular than Smartsheet. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It can probably be mimicked with SmartSheet project management software. A free account would be sufficient for this. Source: about 1 year ago
Smartsheet is a cloud-based spreadsheet tool that I use for client management, CRM tracking, and accounting. It has all of the features of Microsoft Excel, but it also allows you to share your sheets with others and work on them collaboratively. This is a great tool for small businesses because it allows you to keep track of all of your clients in one place, and you can access it from anywhere. Source: almost 2 years ago
3. Business processes What Rows does falls mostly into the realm of small databases and business processes. And while each has their own approach, I'd say that most other "next-gen spreadsheets" are also focusing on these (big and important) use-cases. Airtable (https://airtable.com/), Spreadsheet.com (https://spreadsheet.com/) and Smartsheet (https://smartsheet.com/) all play mainly in this area. GRID is focusing... - Source: Hacker News / over 2 years ago
I want to make apps like monday.com and smartsheet.com. I do not want to build websites. Source: about 3 years ago
Right now my passion is building web-based applications (not websites) and mobile apps. Like I want to build something similar to monday.com or smartsheet.com. I don't wanna build something like TurboTax or Windows or macOS. Source: about 3 years ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
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