Based on our record, Google Cloud Dataflow should be more popular than Smartsheet. It has been mentiond 14 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: about 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
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago
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