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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Hevo Data is recommended for businesses of all sizes that are seeking an easy-to-use platform for automating their data integration processes. It is particularly beneficial for teams that may not have extensive technical expertise but still need to manage complex data environments effectively. Companies looking for a scalable solution to handle real-time data streaming and transformation will also find Hevo Data beneficial.
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Hevo Data might be a bit more popular than SQL Workbench. We know about 9 links to it since March 2021 and only 7 links to SQL Workbench. 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.
Some popular tools for data extraction are Airbyte, Fivetran, Hevo Data, and many more. - Source: dev.to / 6 months ago
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 2 years ago
One of my customers just purchased Precisely to extract from their iSeries machines into Snowflake. Hevo can also do it. Source: over 2 years 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 3 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 3 years ago
Try https://sql-workbench.com if you‘d like to do this directly in the browser, for free. Including Parquet and Arrow support as well. - Source: Hacker News / about 1 month ago
Not sure why the comparisons were made with pretty outdated versions to be honest. I‘m using a (older) v1.29.1 dev version with https://sql-workbench.com w/o any bigger issues. - Source: Hacker News / 2 months ago
Have a look at https://sql-workbench.com eventually. It runs DuckDB WASM in the browser, and with Perspective, which is used for data visualization, you can also visualize timeseries. You can either drag & drop data, or use remote data sources via https. - Source: Hacker News / 3 months ago
Have a look at https://sql-workbench.com eventually, as it's using DuckDB WASM & Perspective to render the query results. Let me know what you think! - Source: Hacker News / 3 months ago
I created https://sql-workbench.com a while ago, mainly to let people analyze data that's available via http sources, or on their local machines, w/o having to install anything. A recent project is https://shrink.video, which is using the WASM version of ffmpeg to shrink or convert video in the user's browser itself, for privacy and similar reasons mentioned before. - Source: Hacker News / 4 months ago
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