Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making.
The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs.
Try Hevo today and get your fully managed data pipelines up and running in just a few minutes.
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While all the other bookmarking sites have died, pinboard.in remains and is a reliable and handy place to save all those links you love but are sure to otherwise forget.
Based on our record, Pinboard should be more popular than Hevo Data. It has been mentiond 68 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.
In a previous article, we used open-source Airbyte to create an ELT pipeline between SingleStoreDB and Apache Pulsar. We have also seen in another article several methods to ingest MongoDB JSON data into SingleStoreDB. In this article, we’ll evaluate a commercial ELT tool called Hevo Data to create a pipeline between MongoDB Atlas and SingleStoreDB Cloud. Switching to SingleStoreDB has many benefits, as described... - Source: dev.to / over 1 year ago
One of my customers just purchased Precisely to extract from their iSeries machines into Snowflake. Hevo can also do it. Source: over 1 year ago
I've been looking at Hevo data as well, and they certainly make the setup/maintenance a lot easier, but they have a latency of 5-10 minutes. What's the minimum lowest latency that can be achieved with aws for syncing dynamodb to redshift? Source: almost 2 years ago
Don't decide on something without looking at Hevo - I've used this in two organisations now and can't speak more highly of it. Cheap, super simple to use, and super configurable if you want to get into the nitty gritty. Source: about 2 years ago
In that case you should try Hevo Data, you can start with their freemium model and see if it works well for you. Source: about 2 years ago
A lot of it is just practice, but the most common tools I see used are Tailwind, React, Framer Motion, and Figma. This is a pretty diverse portfolio. Tailwind especially somehow produces a very distinct type of design imo. I'm not sure all this design is good. Homogeneity is boring, and I think the shock value of something like https://pinboard.in can be just as, if not more valuable than all these fancy... - Source: Hacker News / 28 days ago
You might get lucky and find a NLP expert's bookmarks on https://pinboard.in. - Source: Hacker News / 3 months ago
The list of text links is basically what https://pinboard.in is, basically - social bookmarking. I only use it privately, but it does have the exact function you're talking about as well. I don't think I would use it with thumbnail previews, since I like how lightweight it is, but it wouldn't be difficult to build something like that. - Source: Hacker News / 5 months ago
Delicious[1] was delicous, and Pinboard[2] is just there. Not into bookmarks that much except for less than 10 significant websites. I might look at ArchiveBox[3] or something like it to bookmark and take a snapshot. Again, none of them as important as it used to be. 1. https://en.wikipedia.org/wiki/Delicious_(website) 2. https://pinboard.in 3. https://archivebox.io. - Source: Hacker News / 5 months ago
I'm using a similar service - https://pinboard.in to both managing my own bookmarks and to browse other users' public bookmarks of interest by tag or using built-in search functionality. Quite useful imo. I do remember so-called "Web Rings" and still think they were a nice idea (among others, passed away), and it seems to me, del.icio.us and then pinboard.in are one of a few options we still have to make smaller... - Source: Hacker News / 7 months ago
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