BlazeSQL
Metabase
AI2sql
LogicLoop
TalktoData AI
Hex
AskYourDatabase
SQL Chat
Modal
e2b
Zerve AI
Hugging Face
Replicate.com
Cerebrium
Microsoft Azure
dat1.co
BlazeSQL is an AI Based SQL Analytics Chatbot that can generate queries, run them, fix errors, create graphs, and create dashboards. It's like your own AI based Data analyst, that does whatever you ask.
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BlazeSQL's answer
It can securely connect AI to your database with the Windows and Mac Versions, allowing your personal AI Data analyst to do all your database work for you. This includes running queries, creating graphs, and creating dashboards
BlazeSQL's answer
It is one of the only options with desktop versions that allow you to securely connect to a database, and one of the few options with Graphing and Dashboarding capabilities.
BlazeSQL's answer
Data analysts and anyone getting insights from SQL Databases.
Based on our record, Modal seems to be more popular. It has been mentiond 45 times since March 2021. 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.
If you've used E2B, Daytona, Modal sandboxes, or Cloudflare Sandboxes, the shape is familiar: REST API, Python and JS SDKs, exec / files / snapshot primitives. Here's what the Python SDK looks like:. - Source: dev.to / 2 months ago
The supported environments include your local machine, Docker containers, remote SSH servers, and two serverless options called Daytona and Modal. Daytona and Modal are the interesting ones for beginners as they handle all the infrastructure for you, and you only pay for compute when Hermes is actively doing something. - Source: dev.to / 3 months ago
TL;DR: If you just need to ship fast, E2B has the best SDK experience. If you need the fastest cold starts, Blaxel wins at 25ms. For GPU workloads, Modal is unmatched. For self-hosted control, Daytona is open-source with a managed option. For persistent long-running sessions, Fly.io Sprites gives you 100GB NVMe per sandbox. - Source: dev.to / 4 months ago
* dramatically increasing inference throughput on [modal.com](http://modal.com) meant I could generate 10s of thousands of tiles in a few hours at very little cost, allowing me to experiment much more rapidly This project continues to be a lot of fun, but Iโm now mostly focusing on the agentic workflows that power this kind of ambitious generation at scale. Canโt wait to share more soon. - Source: Hacker News / 5 months ago
Thanks for sharing this interesting project and approach! One suggestion for improvement: Add some more info to your website/GitHub about the need for a provider and which providers are compatible. It took me a bit to figure that out because there was no prominent info about it. Additionally, none of the demos showed a login or authentication part. To me, it seemed like the VMs just came out of nowhere. So at... - Source: Hacker News / 5 months ago
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