Based on our record, Google Cloud Dataflow should be more popular than Supermetrics. 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.
Supermetrics is a marketing data SaaS, they scaled internationally to more than $50M from Helsinki, Finland. Source: 11 months ago
Supermetrics | Senior Software Engineer | Full time | REMOTE (Portugal) | https://supermetrics.com/ Join our newly founded Internal Integrations Engineering team, develop scalable solutions to support our sales processes, and improve automation and internal tooling for Supermetrics' Sales, Finance, and Customer Support functions. We hope you have strong backend programming skills in PHP and Typescript/Javascript... - Source: Hacker News / about 1 year ago
Https://supermetrics.com is one of them but there are many more actually. Do a quick research about the alternative platforms and let me know if you need further help :). Source: over 1 year ago
Supermetrics powers 90% of our reporting, with automated report building so we can monitor our ad performance. - Source: dev.to / almost 3 years ago
The reality is that Apple will switch to ARM chips, and as devs, we need to be prepared. So this past weekend, faced with a shortage of Intel Macbook Pros for our new devs, we sat down to make it all work for our Supermetrics developers. - Source: dev.to / almost 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
Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Business Hangouts for G Suite - Business Hangouts is a webinar platform its an all-in-one app to produce business and corporate Webinars, Online meetings, Web Conferences, and Virtual Events.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?