Google Cloud Bigtable VS Google Cloud Pub/Sub

Google Cloud Bigtable Reviews

Google Cloud Pub/Sub Reviews

Google Cloud Bigtable mentions (6)

• Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution

  In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago

• Google Cloud Reference

  Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / over 1 year ago

• A Graph-Based Firebase

  > These triples say that the Layer with id 1 has a fontSize 20 and backgroundColor blue. Since they are different rows, there’s no conflict. This sounds a lot like Bigtable (https://cloud.google.com/bigtable), which also does last-write-wins conflict resolution layer. So this is adding a GraphQL + frontend layer to it? - Source: Hacker News / over 1 year ago

• The 4 Types of NoSQL Databases You Need to Know

  Google's BigTable paper inspired this database design, and it is capable of handling large data loads on distributed machines. In addition, column-oriented databases provide efficient compression and high performance with aggregated queries such as sum, average, and minimum. - Source: dev.to / almost 2 years ago

• Can someone help me understand why data batch processing and data streaming processing pose such different challenges in data management?

  Because of these and other differences, the tools used are also different. With batch processing, data might be read from large files, processed, and stored in an OLTP (Online Transaction Processing) database (like MySQL) or OLAP (Online Analytical Processing) system (like Google BigQuery). But these would not be good solutions for streaming applications, because they are not optimized for high throughput on a lot... Source: over 2 years ago

Google Cloud Pub/Sub mentions (15)

• Event-Driven Architecture 101

  Secondly, Go is incredibly easy to learn and in my opinion, maintain. This means that if you're a growing company and expect to onboard new teams and team members, having Go as a basis for your systems should mean that new engineers can get up to speed quickly.  Below is a small sample application that can connect to Google PubSub, subscribe to a topic, send an event and then clean up. In total, its 82 lines of... - Source: dev.to / 7 months ago

• Top 6 message queues for distributed architectures

  Google Cloud Pub/Sub is a fully-managed, globally scalable and secure queue provided by Google Cloud for asynchronous processing messages. Cloud Pub/Sub has many of the same advantages and disadvantages as SQS due to also being cloud hosted. It has a free and paid tier. - Source: dev.to / 12 months ago

• Job Scheduling on Google Cloud Platform

  Cloud Pub/Sub: A global messaging service for event-driven architectures. - Source: dev.to / about 1 year ago

• Effortlessly Scale Your Applications with FaaS: Learn How Functions as a Service Can Help You Grow and Thrive

  Google Cloud Functions is a FaaS offering from Google Cloud Platform (GCP). It allows developers to run their code in response to events, such as changes in a database or the arrival of a message in a Pub/Sub topic. Like AWS Lambda, Google Cloud Functions can be used to build a variety of applications, including serverless websites, data processing pipelines, and real-time data streams. - Source: dev.to / over 1 year ago

• Mixing GCloud and F#

  That gets triggered when a Pub/Sub topic is fired (from the webhook function). - Source: dev.to / over 1 year ago