Usersnap
BugHerd
Marker.io
Userback
Canny.io
Hotjar
Pastel
Frill
Google Cloud Dataflow
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
Usersnap is more than a platform to collect and manage feedback: we pave the road for customer-led growth. Usersnap helps digital products increase feedback interactions and gather insights on customer problems. How?
Usersnap empowers startups to agile enterprises to avoid failures and build products that matter, all with the clarity of customer feedback.
Usersnap Google Cloud DataflowUsersnap is highly recommended for development and design teams, project managers, and customer support teams who need a reliable tool to gather feedback, track bugs, and ensure higher quality in their software development process.
Based on our record, Google Cloud Dataflow should be more popular than Usersnap. 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.
We are using User Snap. https://usersnap.com/. Source: about 3 years ago
Https://usersnap.com/ could be an option. - Source: Hacker News / almost 4 years ago
Accelerate growth of your business with the right customer feedback! We provide some proven strategies and tactics to prioritize customer experience for increased revenue. Source: over 4 years ago
Indicate how well your product perform with the help of user feedback! This helps you to identify areas where you still fall short and improve them by taking active measures. Source: almost 5 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 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years 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: almost 4 years 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 4 years ago
BugHerd - BugHerd: The Website Feedback Tool for Agencies
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Marker.io - Visual feedback and bug reporting tool for websites
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
