Ingestion
Effective, agile & flexible etl tool for publishers
Ingestion launched on December 11, 2024 with 9 votes, #2,406 of 5,365 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Ingestion etl tool lets your stakeholder store and visualize data in a preferred database of your choice. Tailored for Publishers, it delivers flexibility without compromise.
Simplify data ingestion seamlessly with ETL tools. Automate data processing, data aggregation, and mapping anywhere, anytime from diverse sources.
Ingestion acts as the backbone of our decision-making process, pulling together data from various sources like email reports and APIs, each with user-friendly settings. This data is then smoothly transferred to destinations like Gsheet or BigQuery Table, ensuring an effortlessly organized and accessible pool of information for our team’s data-driven decision-making. Ingestion is priced 40-50% lower than leading market products, with lower setup and maintenance costs. Prioritizing client base and satisfaction, pricing maintains a marginal difference. Designed for user autonomy, our solution enables quick setup and maintenance, reducing import setup time to minutes. It includes pause…from databeat.io
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I built an open-source data copy tool called ingestr2024 · github.com · ▲156Hi there, Burak here. I built an open-source data copy tool called ingestr (https://github.com/bruin-data/ingestr) I did build quite a few data warehouses both for the companies I worked at, as well as for consultancy projects. One of the more common pain points I observed was that everyone had to rebuild the same data ingestion bit over and over again, and each in different ways: - some wrote code for the ingestion from scratch to various degrees - some used off-the-shelf data ingestion tools like Fivetran / Airbyte I have always disliked both of these approaches,…
pg-bulk-ingest – Now with multi-table support2024 · github.com · ▲18I (with others) made a Python utility for loading data into PostgreSQL incrementally from ETL-ish pipelines. Its API supported ingesting into multiple multiple tables at the sort of "structural" level from its beginning (more or less), but didn't actually support it if you tried to do it. And I've been umming and ahhing on how best to do it. No way seemed perfect... ... but pushed by an actual use case, I finally made a decision and did it.
- RHReplace "hub" by "ingest" in GitHub URLs for a prompt-friendly extract2024 · gitingest.com · ▲185
Gitingest is a open-source micro dev-tool that I made over the last week. It turns any public Github repository into a text extract that you can give to your favourite LLM easily. Today I added this url trick to make it even easier to use! How I use it myself: - Quickly generate a README.md boilerplate for a project - Ask LLMs questions about an undocumented codebase It is still very much work in progress and I plan to add many more options (file size limits, exclude patterns..) and a public API I hope this tool can help you Your feedback is very valuable to help me prioritize And…
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