
Algorithmia
MCenter
5Analytics
Spell
neptune.ai
MuleSoft Anypoint Platform
Zapier
Datadog
DBeaver
DataGrip
HeidiSQL
phpMyAdmin
DbVisualizer
MySQL Workbench
Sequel Pro
TablePlus
Algorithmia
DBeaverAlgorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
Based on our record, DBeaver seems to be a lot more popular than Algorithmia. While we know about 113 links to DBeaver, we've tracked only 5 mentions of Algorithmia. 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.
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 5 years ago
DBeaver is one of the best-known universal database clients. Its Community edition is free and open source, and it covers common relational databases such as MySQL, MariaDB, PostgreSQL, SQLite, SQL Server, and many others. - Source: dev.to / about 1 month ago
I built a self-hostable web-based sql client interfaces for me and my team. We were using the community version of - https://dbeaver.io, but we needed a few more features and an improved editor. PopSQL was a modern take on web based sql editor, but it didn't fit into the infra security setup we have. We needed -. - Source: Hacker News / about 2 months ago
If you are using Windows, you can find DBeaver on the Microsoft Store. For Mac and Linux users, you can download it from the website. It is an open-source platform, so you can get it freely. - Source: dev.to / 5 months ago
- This confirms PostgreSQL is installed correctly. **##########Connecting PostgreSQL to DBeaver (Step by Step)** So now this part explains how to see and work with your PostgreSQL database visually using DBeaver. ***What is DBeaver?*** *DBeaver is a window you use to:* - See your databases - See tables and data - Write SQL without fear - PostgreSQL is the brain - DBeaver is the face you talk to. ***Step 1:... - Source: dev.to / 6 months ago
The integrated query editor doesn't have auto-completion and the feature set is very limited compared to DBeaver or pgAdmin, but if you would like to quickly execute the SQL statement, perform Explain Analyze and don't want to bother yourself with generating a short-lived authentication token each time, this is a good way to go:. - Source: dev.to / 6 months ago
MCenter - Machine Learning Operationalization
DataGrip - Tool for SQL and databases
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.
Spell - Deep Learning and AI accessible to everyone
phpMyAdmin - phpMyAdmin is a tool written in PHP intended to handle the administration of MySQL over the Web.