Dev tools · alternatives · 2026
24 alternatives to Ingest data from your customers (Prequel YC W21)
Hey HN! Charles here from Prequel (https://prequel.co). We just launched the ability for companies to import data from their customer’s data warehouse or database, and we wanted to share a little bit more about it with the community. If you just want to see how it works, here’s a demo of the product that Conor recorded: https://www.loom.com/share/4724fb62583e41a9ba1a636fc8ea92f1. Quick background on us: we help companies integrate with their customer’s data warehouse or database. We’ve been busy helping companies export data to their customers – we’re currently…
Prequel enables companies to import data directly from their customers' data warehouses or databases. Built for B2B software providers, it allows them to offer reverse ETL capabilities to customers alongside existing… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Ingest data from your customers (Prequel YC W21) launched in 2023; newer entries below may have overtaken it.
- 1SD
Hey HN! Charles here from Prequel (https://prequel.co). We just launched the ability to sync data from your own app/db/data warehouse to any of your customer’s Google Sheets, CSV, or Excel – and I wanted to share a bit more about how we built the Google Sheets integration. If you’re curious, see here for a quick GIF demo of our Google Sheets destination: https://storage.googleapis.com/hn_asset/Prequel_GoogleSheets.... Quick background on us: we make it easy to integrate with and sync data to data warehouses. Problem is, there are plenty of folks who…
2023 · its alternatives →
- 2CE
Hello Hacker News! We're a team of YC founders (Meldium W13, Draft S11, TapEngage S11) launching something new (https://www.getcensus.com). How many times has your business team asked you to generate yet another CSV file, write a ”quick report” in SQL, or send some custom data to a terrible API (looking at you Marketo)? We’ve built a product that connects directly to your data warehouse and syncs into apps like Salesforce, Customer.io and even Google Sheets. In fact, your business teams won’t even need to rely on engineering to manage all these pipelines. The tech stack for…
2020 · its alternatives →
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Hi 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,…
2024 · github.com · its alternatives →
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Build audiences that matter, instantly
2024 · dreamdata.io · its alternatives →
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Sync warehouse data into your production databases
2022 · hightouch.com · its alternatives →
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Move marketing data to BigQuery warehouse, no code required
2023 · whatagraph.com · its alternatives →
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Customer data in any warehouse. Retroactively. In one click.
2020 · freshpaint.io · its alternatives →
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Bring missing data into Databox without writing code
May 2026 · databox.com · its alternatives →
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Collect & send customer data to ad platforms
2021 · freshpaint.io · its alternatives →
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Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…
2024 · github.com · its alternatives →
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Data Fetcher 2.0▲173Import data from anywhere into Airtable with no-code
2022 · airtable.com · its alternatives →
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Hey HN! We're excited to announce the launch of Tonic Textual, the secure data lakehouse for LLMs. Simply stated, Tonic Textual allows you to build generative AI systems on your own unstructured data without having to spend time extracting and standardizing your data. In minutes you can build automated, scalable unstructured data pipelines that extract, centralize, standardize, and enrich data from your documents into an AI-optimized format ready for embedding, fine-tuning, and ingesting into a vector database. While in-flight, we also scan for sensitive information and protect it via…
2024 · tonic.ai · its alternatives →
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Fivetran▲85The smartest way to replicate data into your warehouse
2015 · fivetran.com · its alternatives →
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🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census. - GitHub - Multiwoven/multiwoven: 🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
2024 · github.com · its alternatives →
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Track, identify, segment & sync the customer data you need
2017 · its alternatives →
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Track, identify, segment & sync the customer data you need
2017 · its alternatives →
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Datatune ▲38Modern AI tools use SQL/Code generation agents or RAG to access the user data to perform transformations. However, the drawback is that this doesn't provide row-level intelligence, especially in case of semantic intelligence is required to understand how to perform the transfromations on each row of the data. We've released Datatune (https://github.com/vitalops/datatune) as a tool to let users connect entire user Data with LLMs and Agents, to help users access their entire data with just a prompt. While building Agents for a customer who had large amounts of data, we…
Jan 2026 · github.com · its alternatives →
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folio▲74hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…
Apr 2026 · usefolio.ai · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →