Work · alternatives · 2026
24 alternatives to Phidata – Building Blocks for Data Engineering
Hi HN, I’ve been a data engineer for over a decade and have slowly been working on a way for 1 person to run a data platform (mostly to automate my job) When I was starting, I found the wide range of tools required to build data products overwhelming. Infrastructure setup, app deployment, pipeline development, creating metrics, dashboards and finally, integrating ML into product. No wonder companies have 100s of people working on this. So last year I quit the best job in the world to figure this out. I’d like to introduce Phidata: Building Blocks for Data Engineering It works like this: 1.…
Phidata is a framework designed to simplify data platform development by providing pre-configured building blocks for common tools like Airflow, Superset, and Jupyter. It allows data engineers to define infrastructure… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Phidata – Building Blocks for Data Engineering launched in 2023; newer entries below may have overtaken it.
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Build, run, and manage agent platforms. Contribute to agno-agi/agno development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Pandada AI▲620Build data wealth: Turns files into McKinsey-level insights
Jan 2026 · pandada.ai · its alternatives →
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SayData▲778Build truly self-serve customer facing analytics using AI
2023 · saydata.tech · its alternatives →
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Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com · its alternatives →
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Phiona▲122No-code data automation- integrate, wrangle and sync data 💫
2020 · phiona.com · its alternatives →
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One platform for all things about the modern data stack
2021 · moderndatastack.xyz · its alternatives →
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Mozart Data▲112The easiest way for teams to build a Modern Data Stack
2021 · mozartdata.com · its alternatives →
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A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
2022 · its alternatives →
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Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…
2023 · colab.research.google.com · its alternatives →
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Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
2020 · its alternatives →
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A grid library for instant big data processing
2022 · datatable.dev · its alternatives →
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Fathym▲63The data application orchestration and development framework
2020 · fathym.com · its alternatives →
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With the OpenDataDiscovery Platform, you can collect metadata from any data source, regardless of format or location. This powerful platform provides data discovery, observability, and trust for your entire data pipeline.
2022 · opendatadiscovery.org · its alternatives →
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Hi HN, I started building Datastripes as part of my thesis, trying to answer a simple question: How can non-technical teams turn raw data into insights without relying on developers or BI tools? What began as research has now grown into a working product, built by a small team, focused on solving that exact problem. Datastripes is a no-code platform for creating dashboards and data visualizations in minutes: no SQL, no setup, no friction. What it does: Connects to CSVs, Google Sheets, or APIs Drag-and-drop dashboard builder Shareable via public links or embed Fully browser-based We’re…
Jan 2026 · datastripes.com · its alternatives →
- 20DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
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2015 · devdata.io · its alternatives →
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EnterpriseDB (“EDB”), the leader in accelerating Postgres® in the enterprise, today announced its acquisition of Splitgraph, an early-stage disruptor that provides a Postgres compatible serverless SQL API for building data driven applications from hundreds of datasources. This move is seen as a mean
2020 · splitgraph.com · its alternatives →
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- 24AA
2019 · askdata.com · 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 →