DBeaver Reviews

Azure Synapse Analytics Reviews

DBeaver mentions (96)

• SQL IDEs/Editors for making MySQL usage Easier and more Efficient

  As a developer, especially for those who work with MySQL databases, using the right SQL tools is crucial as it can simplify daily tasks. Here are the top 3 recommended user-friendly SQL IDEs or SQL Editors: 1. SQLynx SQLynx supports both web-based and client-side operations. It can handle various types of databases including MySQL, PostgreSQL, Oracle.The product has a simple interface and offers excellent... - Source: dev.to / 7 days ago

• From GUI to CLI: Transforming my query workflow with usql and jq

  I usually deal with data spread across multiple databases and my tool for the job of inspecting resources and test some simple queries was dbeaver, which is great, but it can be overwhelming in terms of visual information (specially on my use case). I needed speed, I needed something in the terminal, I needed vim. - Source: dev.to / about 2 months ago

• Essential Tools & Technologies for New Developers

  Now that we've talked about databases, we are going to look at some software for connecting and managing your databases. DBeaver is a good free software that works on all platforms. But for those who are using JetBrains, you can also use Datagrip. - Source: dev.to / about 1 month ago

• I Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC)

  It’s cool to show a demo and talk about the infrastructure with cute diagrams, but I always want to prove, even if just to myself, that things work as expected. So I thought a good way to test it would be to try connecting directly to both databases using my database client, DBeaver. - Source: dev.to / 3 months ago

• DBeaver – open-source Database client

  List of db clients I have bookmarked https://dbeaver.io/. - Source: Hacker News / 3 months ago

Azure Synapse Analytics mentions (3)

• Deploying a Data Warehouse with Pulumi and Amazon Redshift

  A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 1 year ago

• [WSJ] Facebook Parent Meta Expected to Post Slowest Revenue Growth Since IPO

  You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 2 years ago

• The Difference Between Data Warehouses, Data Lakes, and Data Lakehouses.

  Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 2 years ago