Google Cloud Datastore VS Google Cloud Bigtable

Google Cloud Datastore Reviews

Google Cloud Bigtable Reviews

Google Cloud Datastore mentions (6)

• How to deploy flask app with sqlite on google cloud ?

  In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: about 1 year ago

• Is Cloud Run a good choice for a portfolio website?

  As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: almost 2 years ago

• Help! Difference between native and datastore

  Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: about 2 years ago

• I'm a dev ID 10 T please help me

  Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 2 years ago

• 8 hidden Data Science Job Roles: The Secret of Successful Career transition in 2021 | Skillslash

  Extensive working knowledge in several cloud-based data management services like Amazon web services (AWS) cloud (EC2, Lambda, etc.), Oracle Cloud, Google cloud database, MongoDB, IBM db2, etc. Source: over 2 years ago

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: about 2 years ago