Based on our record, Jupyter seems to be a lot more popular than Amazon Aurora. While we know about 205 links to Jupyter, we've tracked only 20 mentions of Amazon Aurora. 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.
As far as the big players are concerned, Google offers AlloyDB (https://cloud.google.com/alloydb) while Amazon offers Aurora (https://aws.amazon.com/rds/aurora/). - Source: Hacker News / 8 months ago
Aurora is a managed database service from Amazon compatible with MySQL and PostgreSQL. It allows for the use of existing MySQL code, tools, and applications and can offer increased performance for certain workloads compared to MySQL and PostgreSQL. - Source: dev.to / 10 months ago
See my other comment on this thread. More typically you'd use RDS for external DB. Aurora is a megascale version. Source: 11 months ago
If you get to a point where RDS cannot handle your work load you can migrate to Amazon Aurora: Https://aws.amazon.com/rds/aurora/. Source: about 1 year ago
Just like how DB replication and load-balancers exists for ~20 years, SC is making far worse version of them under different name. So this "budget" thingy is just another distraction for cult to discuss, so the followers can claim "they know game development". Source: about 1 year ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 20 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / about 1 month ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 25 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
MySQL - The world's most popular open source database
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.