Based on our record, Cloud Firestore should be more popular than Google Cloud Dataflow. It has been mentiond 43 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.
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
Firebase is an app development platform backed by Google that famously replaces the need for a backend. It accomplishes this by providing developers with a variety of services, including authentication, push notifications, and a database called Cloud Firestore that can be adapted to store and broadcast chat messages in realtime. - Source: dev.to / 3 months ago
Within the Firebase system, I use Firestore. To minimize queries of multiple collections ( keep server costs down ) I keep users in one collection. Within each user object I have a "roles" property that is a sub-object referencing the different roles available:. Source: 5 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago
Oh, I don't think this is what you're looking for. It's NoSQL versus Supabase's PostgreSQL implementation. {sigh}. Source: 10 months ago
I tried to make a reddit like app. I used both realtime-database and firestore as database. The billing of the two is different from each other. I used realtime-database for frequently updated data (like or upvote, downvote count for ex.) and firestore for more stable and large data (post, comment, community and user data..). While doing this, I only used database rules, I did not use Cloud functions. So, I... Source: 10 months ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Firebase Authentication - Application and Data, Application Utilities, and User Management and Authentication