Amazon Athena
phpMyAdmin
SQLyog
Toad for Oracle
Sequel Pro
SQL Developer
DBeaver
Navicat Premium
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Amazon AthenaBased on our record, Jupyter seems to be a lot more popular than Amazon Athena. While we know about 205 links to Jupyter, we've tracked only 20 mentions of Amazon Athena. 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.
Prepare GIS data for use with Amazon Athena. This time, we created four types of sample data in QGIS in advance. - Source: dev.to / 4 months ago
If you have not heard about AWS Athena, I encourage you to take a look at this service. You can read more about it here. - Source: dev.to / 6 months ago
Probably S3 Select or Athena? https://aws.amazon.com/athena/ Both can query S3 directly. Source: about 1 year ago
You can use athena to query data out of parquet files in S3. Source: about 1 year ago
Amazon Athena (analytics) Amazon Athena is an interactive query service that you can use to analyze data in Amazon S3 using ANSI SQL. Athena is serverless, so there's no infrastructure to manage. Athena scales automatically and is simple to use, so you can start analyzing your datasets within seconds. Https://aws.amazon.com/athena/. - Source: dev.to / over 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 / 4 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 15 days 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 / 10 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 / about 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 / about 2 months ago
phpMyAdmin - phpMyAdmin is a tool written in PHP intended to handle the administration of MySQL over the Web.
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.
SQLyog - Webyog develops MySQL database client tools. Monyog MySQL monitor and SQLyog MySQL GUI & admin are trusted by 2.5 million users across the globe.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Toad for Oracle - Toad is an industry-standard tool for application development.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
