Google Cloud Dataflow might be a bit more popular than Zapier. We know about 14 links to it since March 2021 and only 12 links to Zapier. 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.
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 / almost 2 years ago
Indeed, zapier already has this [0] 0 - https://zapier.com/#:~:text=Start%20a%20workflow%20as%20fast%20as%20you%20can%20type. - Source: Hacker News / about 1 month ago
There is some overlap here into the “no-code” or “low-code” world, as sometimes the same teams will hook tools like Zapier up to the BaaS in order to integrate with third parties. For small projects this can lead to superhuman productivity! But over a certain line it can become a mess of complexity where it’s hard to track down where data lives and where it is mutated. - Source: dev.to / 3 months ago
I submitted an application for w24 that fits in the "Developer tools inspired by existing internal tools" category but wasn't accepted. I suspect my pitch probably needed work, and I also haven't started building at all yet and submitted as a solo-founder which it seems has less chance of being accepted. Here's the pitch and some details, in case anyone else is interested in the idea: > Supportal uses AI to... - Source: Hacker News / 3 months ago
Zapier.com — Connect the apps you use to automate tasks. Five zaps every 15 minutes and 100 tasks/month. - Source: dev.to / 3 months ago
Zapier is undoubtedly one of the most popular workflow automation platforms. Its user-friendly interface empowers users, even those without coding knowledge, to create automation workflows known as "Zaps." With an extensive library of integrations, Zapier enables developers to automate repetitive tasks by chaining them together, saving time and effort. - Source: dev.to / 8 months ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Make.com - Tool for workflow automation (Former Integromat)
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.